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You searched for subject:(Biomedical Text Mining). Showing records 1 – 30 of 33 total matches.

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University of Manchester

1. Gerner, Lars Martin Anders. Integrating text-mining approaches to identify entities and extract events from the biomedical literature.

Degree: PhD, 2012, University of Manchester

 The amount of biomedical literature available is increasing at an exponential rate and is becoming increasingly difficult to navigate. Text-mining methods can potentially mitigate this… (more)

Subjects/Keywords: 006.312; Biomedical text mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gerner, L. M. A. (2012). Integrating text-mining approaches to identify entities and extract events from the biomedical literature. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/integrating-textmining-approaches-to-identify-entities-and-extract-events-from-the-biomedical-literature(44f8e79a-3782-4687-85c7-eee1fda5cb76).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553476

Chicago Manual of Style (16th Edition):

Gerner, Lars Martin Anders. “Integrating text-mining approaches to identify entities and extract events from the biomedical literature.” 2012. Doctoral Dissertation, University of Manchester. Accessed August 04, 2020. https://www.research.manchester.ac.uk/portal/en/theses/integrating-textmining-approaches-to-identify-entities-and-extract-events-from-the-biomedical-literature(44f8e79a-3782-4687-85c7-eee1fda5cb76).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553476.

MLA Handbook (7th Edition):

Gerner, Lars Martin Anders. “Integrating text-mining approaches to identify entities and extract events from the biomedical literature.” 2012. Web. 04 Aug 2020.

Vancouver:

Gerner LMA. Integrating text-mining approaches to identify entities and extract events from the biomedical literature. [Internet] [Doctoral dissertation]. University of Manchester; 2012. [cited 2020 Aug 04]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/integrating-textmining-approaches-to-identify-entities-and-extract-events-from-the-biomedical-literature(44f8e79a-3782-4687-85c7-eee1fda5cb76).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553476.

Council of Science Editors:

Gerner LMA. Integrating text-mining approaches to identify entities and extract events from the biomedical literature. [Doctoral Dissertation]. University of Manchester; 2012. Available from: https://www.research.manchester.ac.uk/portal/en/theses/integrating-textmining-approaches-to-identify-entities-and-extract-events-from-the-biomedical-literature(44f8e79a-3782-4687-85c7-eee1fda5cb76).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553476


Linköping University

2. Benis, Nirupama. Corpus construction based on Ontological domain knowledge.

Degree: Computer and Information Science, 2011, Linköping University

  The purpose of this thesis is to contribute a corpus for sentence level interpretation of biomedical language. The available corpora for the biomedical domain… (more)

Subjects/Keywords: Text mining; Biomedical text mining; Natural Language Processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Benis, N. (2011). Corpus construction based on Ontological domain knowledge. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71851

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Benis, Nirupama. “Corpus construction based on Ontological domain knowledge.” 2011. Thesis, Linköping University. Accessed August 04, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71851.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Benis, Nirupama. “Corpus construction based on Ontological domain knowledge.” 2011. Web. 04 Aug 2020.

Vancouver:

Benis N. Corpus construction based on Ontological domain knowledge. [Internet] [Thesis]. Linköping University; 2011. [cited 2020 Aug 04]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71851.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Benis N. Corpus construction based on Ontological domain knowledge. [Thesis]. Linköping University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71851

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Manchester

3. Mihaila, Claudiu. Discourse causality recognition in the biomedical domain.

Degree: PhD, 2014, University of Manchester

 With the advent of online publishing of scientific research came an avalanche of electronic resources and repositories containing knowledge encoded in some form or another.… (more)

Subjects/Keywords: 610.28; discourse analysis; discourse causality; biomedical causality; biomedical text mining; biomedical literature

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mihaila, C. (2014). Discourse causality recognition in the biomedical domain. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/discourse-causality-recognition-in-the-biomedical-domain(c3a4290c-276e-414f-b843-096564a892d3).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618042

Chicago Manual of Style (16th Edition):

Mihaila, Claudiu. “Discourse causality recognition in the biomedical domain.” 2014. Doctoral Dissertation, University of Manchester. Accessed August 04, 2020. https://www.research.manchester.ac.uk/portal/en/theses/discourse-causality-recognition-in-the-biomedical-domain(c3a4290c-276e-414f-b843-096564a892d3).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618042.

MLA Handbook (7th Edition):

Mihaila, Claudiu. “Discourse causality recognition in the biomedical domain.” 2014. Web. 04 Aug 2020.

Vancouver:

Mihaila C. Discourse causality recognition in the biomedical domain. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2020 Aug 04]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/discourse-causality-recognition-in-the-biomedical-domain(c3a4290c-276e-414f-b843-096564a892d3).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618042.

Council of Science Editors:

Mihaila C. Discourse causality recognition in the biomedical domain. [Doctoral Dissertation]. University of Manchester; 2014. Available from: https://www.research.manchester.ac.uk/portal/en/theses/discourse-causality-recognition-in-the-biomedical-domain(c3a4290c-276e-414f-b843-096564a892d3).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618042

4. Choi, Miji Jooyoung. Coreference resolution for biomedical pathway data.

Degree: 2017, University of Melbourne

 The study of biological pathways is a major activity in the life sciences. Biological pathways provide understanding and interpretation of many different kinds of biological… (more)

Subjects/Keywords: natural language processing; biomedical text mining; coreference resolution; pathway information extraction

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APA (6th Edition):

Choi, M. J. (2017). Coreference resolution for biomedical pathway data. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/191872

Chicago Manual of Style (16th Edition):

Choi, Miji Jooyoung. “Coreference resolution for biomedical pathway data.” 2017. Doctoral Dissertation, University of Melbourne. Accessed August 04, 2020. http://hdl.handle.net/11343/191872.

MLA Handbook (7th Edition):

Choi, Miji Jooyoung. “Coreference resolution for biomedical pathway data.” 2017. Web. 04 Aug 2020.

Vancouver:

Choi MJ. Coreference resolution for biomedical pathway data. [Internet] [Doctoral dissertation]. University of Melbourne; 2017. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/11343/191872.

Council of Science Editors:

Choi MJ. Coreference resolution for biomedical pathway data. [Doctoral Dissertation]. University of Melbourne; 2017. Available from: http://hdl.handle.net/11343/191872

5. Gerner, Lars Martin Anders. Integrating text-mining approaches to identify entities and extract events from the biomedical literature.

Degree: 2012, University of Manchester

The amount of biomedical literature available is increasing at an exponential rate and is becoming increasingly difficult to navigate. Text-mining methods can po-tentially mitigate this… (more)

Subjects/Keywords: Biomedical text mining

…outstanding for a project on biomedical text mining. I would also like to thank Dr. David Robertson… …species names in biomedical articles is a fundamental step in many advanced text mining systems… …with varying meaning depending on the field of study. In biomedical text mining, it can be… …difficult to detect using rules. As the focus of this work is on biomedical text-mining (and… …rate and is becoming increasingly difficult to navigate. Text-mining methods can potentially… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gerner, L. M. A. (2012). Integrating text-mining approaches to identify entities and extract events from the biomedical literature. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:158970

Chicago Manual of Style (16th Edition):

Gerner, Lars Martin Anders. “Integrating text-mining approaches to identify entities and extract events from the biomedical literature.” 2012. Doctoral Dissertation, University of Manchester. Accessed August 04, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:158970.

MLA Handbook (7th Edition):

Gerner, Lars Martin Anders. “Integrating text-mining approaches to identify entities and extract events from the biomedical literature.” 2012. Web. 04 Aug 2020.

Vancouver:

Gerner LMA. Integrating text-mining approaches to identify entities and extract events from the biomedical literature. [Internet] [Doctoral dissertation]. University of Manchester; 2012. [cited 2020 Aug 04]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:158970.

Council of Science Editors:

Gerner LMA. Integrating text-mining approaches to identify entities and extract events from the biomedical literature. [Doctoral Dissertation]. University of Manchester; 2012. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:158970


University of Manchester

6. Alnazzawi, Noha Abdulkareem D. Linking clinical records to the biomedical literature.

Degree: PhD, 2016, University of Manchester

 Narrative information in Electronic Health Records (EHRs) contains a wealth of clinical information about treatments, diagnosis, medication and family history. In addition, the scientific literature… (more)

Subjects/Keywords: 610.28; Electronic health records; Biomedical literature; text mining; natural language processing

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APA (6th Edition):

Alnazzawi, N. A. D. (2016). Linking clinical records to the biomedical literature. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/linking-clinical-records-to-the-biomedical-literature(7ab62b2f-2178-49f3-9b5f-a8c15598cae7).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.697778

Chicago Manual of Style (16th Edition):

Alnazzawi, Noha Abdulkareem D. “Linking clinical records to the biomedical literature.” 2016. Doctoral Dissertation, University of Manchester. Accessed August 04, 2020. https://www.research.manchester.ac.uk/portal/en/theses/linking-clinical-records-to-the-biomedical-literature(7ab62b2f-2178-49f3-9b5f-a8c15598cae7).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.697778.

MLA Handbook (7th Edition):

Alnazzawi, Noha Abdulkareem D. “Linking clinical records to the biomedical literature.” 2016. Web. 04 Aug 2020.

Vancouver:

Alnazzawi NAD. Linking clinical records to the biomedical literature. [Internet] [Doctoral dissertation]. University of Manchester; 2016. [cited 2020 Aug 04]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/linking-clinical-records-to-the-biomedical-literature(7ab62b2f-2178-49f3-9b5f-a8c15598cae7).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.697778.

Council of Science Editors:

Alnazzawi NAD. Linking clinical records to the biomedical literature. [Doctoral Dissertation]. University of Manchester; 2016. Available from: https://www.research.manchester.ac.uk/portal/en/theses/linking-clinical-records-to-the-biomedical-literature(7ab62b2f-2178-49f3-9b5f-a8c15598cae7).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.697778


King Abdullah University of Science and Technology

7. Toonsi, Sumyyah. Automatic Protein Function Annotation Through Text Mining.

Degree: 2019, King Abdullah University of Science and Technology

 The knowledge of a protein’s function is essential to many studies in molecular biology, genetic experiments and protein-protein interactions. The Gene Ontology (GO) captures gene… (more)

Subjects/Keywords: Protein function; Gene Ontology; Text Mining; Biomedical; Annotation; Automatic

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Toonsi, S. (2019). Automatic Protein Function Annotation Through Text Mining. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/656601

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Toonsi, Sumyyah. “Automatic Protein Function Annotation Through Text Mining.” 2019. Thesis, King Abdullah University of Science and Technology. Accessed August 04, 2020. http://hdl.handle.net/10754/656601.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Toonsi, Sumyyah. “Automatic Protein Function Annotation Through Text Mining.” 2019. Web. 04 Aug 2020.

Vancouver:

Toonsi S. Automatic Protein Function Annotation Through Text Mining. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2019. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/10754/656601.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Toonsi S. Automatic Protein Function Annotation Through Text Mining. [Thesis]. King Abdullah University of Science and Technology; 2019. Available from: http://hdl.handle.net/10754/656601

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Missouri – Columbia

8. Thieu, Thanh. Mining host-pathogen interaction from biomedical literature.

Degree: 2011, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] With infectious diseases affecting humans, animals, and plants, the knowledge on mechanisms of infection… (more)

Subjects/Keywords: host-pathogen interaction; biomedical text mining; protein interaction; therapeutic cure

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APA (6th Edition):

Thieu, T. (2011). Mining host-pathogen interaction from biomedical literature. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/14590

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Thieu, Thanh. “Mining host-pathogen interaction from biomedical literature.” 2011. Thesis, University of Missouri – Columbia. Accessed August 04, 2020. http://hdl.handle.net/10355/14590.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Thieu, Thanh. “Mining host-pathogen interaction from biomedical literature.” 2011. Web. 04 Aug 2020.

Vancouver:

Thieu T. Mining host-pathogen interaction from biomedical literature. [Internet] [Thesis]. University of Missouri – Columbia; 2011. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/10355/14590.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Thieu T. Mining host-pathogen interaction from biomedical literature. [Thesis]. University of Missouri – Columbia; 2011. Available from: http://hdl.handle.net/10355/14590

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Manchester

9. Sarafraz, Farzaneh. Finding conflicting statements in the biomedical literature.

Degree: PhD, 2012, University of Manchester

 The main archive of life sciences literature currently contains more than 18,000,000 references, and it is virtually impossible for any human to stay up-to-date with… (more)

Subjects/Keywords: 006.312; Text Mining; Natural Language Processing; Information Extraction; Biomedical Text Mining; Bioinformatics; Negation; Contradiction; Contrast; Literature-based discovery; Molecular Event Extraction

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APA (6th Edition):

Sarafraz, F. (2012). Finding conflicting statements in the biomedical literature. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/finding-conflicting-statements-in-the-biomedical-literature(963e490a-eeea-4f4c-864d-fb318899beed).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553430

Chicago Manual of Style (16th Edition):

Sarafraz, Farzaneh. “Finding conflicting statements in the biomedical literature.” 2012. Doctoral Dissertation, University of Manchester. Accessed August 04, 2020. https://www.research.manchester.ac.uk/portal/en/theses/finding-conflicting-statements-in-the-biomedical-literature(963e490a-eeea-4f4c-864d-fb318899beed).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553430.

MLA Handbook (7th Edition):

Sarafraz, Farzaneh. “Finding conflicting statements in the biomedical literature.” 2012. Web. 04 Aug 2020.

Vancouver:

Sarafraz F. Finding conflicting statements in the biomedical literature. [Internet] [Doctoral dissertation]. University of Manchester; 2012. [cited 2020 Aug 04]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/finding-conflicting-statements-in-the-biomedical-literature(963e490a-eeea-4f4c-864d-fb318899beed).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553430.

Council of Science Editors:

Sarafraz F. Finding conflicting statements in the biomedical literature. [Doctoral Dissertation]. University of Manchester; 2012. Available from: https://www.research.manchester.ac.uk/portal/en/theses/finding-conflicting-statements-in-the-biomedical-literature(963e490a-eeea-4f4c-864d-fb318899beed).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553430


University of Delaware

10. Li, Gang. Biomedical relation extraction with reduced manual effort .

Degree: 2018, University of Delaware

Biomedical relation extraction is an critical text-mining task that concerns automatic extraction of related bio-entities in text. Rule-based and machine learning methods are two main… (more)

Subjects/Keywords: Applied sciences; BioNLP; Biomedical text mining; Deep learning; Distant supervision; Pattern generation; Relation extraction

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APA (6th Edition):

Li, G. (2018). Biomedical relation extraction with reduced manual effort . (Doctoral Dissertation). University of Delaware. Retrieved from http://udspace.udel.edu/handle/19716/23793

Chicago Manual of Style (16th Edition):

Li, Gang. “Biomedical relation extraction with reduced manual effort .” 2018. Doctoral Dissertation, University of Delaware. Accessed August 04, 2020. http://udspace.udel.edu/handle/19716/23793.

MLA Handbook (7th Edition):

Li, Gang. “Biomedical relation extraction with reduced manual effort .” 2018. Web. 04 Aug 2020.

Vancouver:

Li G. Biomedical relation extraction with reduced manual effort . [Internet] [Doctoral dissertation]. University of Delaware; 2018. [cited 2020 Aug 04]. Available from: http://udspace.udel.edu/handle/19716/23793.

Council of Science Editors:

Li G. Biomedical relation extraction with reduced manual effort . [Doctoral Dissertation]. University of Delaware; 2018. Available from: http://udspace.udel.edu/handle/19716/23793


University of Manchester

11. Batista-Navarro, Riza Theresa Bautista. Information extraction from pharmaceutical literature.

Degree: PhD, 2014, University of Manchester

 With the constantly growing amount of biomedical literature, methods for automatically distilling information from unstructured data, collectively known as information extraction, have become indispensable. Whilst… (more)

Subjects/Keywords: 005.74; Biomedical text mining; Information extraction; Chemical named entity recognition; Chemical coreference resolution; Event extraction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Batista-Navarro, R. T. B. (2014). Information extraction from pharmaceutical literature. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/information-extraction-from-pharmaceutical-literature(3f8322b6-8b8d-44eb-a8cd-899026b267b9).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617975

Chicago Manual of Style (16th Edition):

Batista-Navarro, Riza Theresa Bautista. “Information extraction from pharmaceutical literature.” 2014. Doctoral Dissertation, University of Manchester. Accessed August 04, 2020. https://www.research.manchester.ac.uk/portal/en/theses/information-extraction-from-pharmaceutical-literature(3f8322b6-8b8d-44eb-a8cd-899026b267b9).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617975.

MLA Handbook (7th Edition):

Batista-Navarro, Riza Theresa Bautista. “Information extraction from pharmaceutical literature.” 2014. Web. 04 Aug 2020.

Vancouver:

Batista-Navarro RTB. Information extraction from pharmaceutical literature. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2020 Aug 04]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/information-extraction-from-pharmaceutical-literature(3f8322b6-8b8d-44eb-a8cd-899026b267b9).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617975.

Council of Science Editors:

Batista-Navarro RTB. Information extraction from pharmaceutical literature. [Doctoral Dissertation]. University of Manchester; 2014. Available from: https://www.research.manchester.ac.uk/portal/en/theses/information-extraction-from-pharmaceutical-literature(3f8322b6-8b8d-44eb-a8cd-899026b267b9).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617975

12. Zerva, Chrysoula. AUTOMATIC IDENTIFICATION OF TEXTUAL UNCERTAINTY.

Degree: 2019, University of Manchester

 The exponential increase in published research progressively perplexes the navigation of existing literature and the search of specific information for researchers, rendering the incorporation of… (more)

Subjects/Keywords: text mining; uncertainty; subjective logic; biomedical interaction networks; biomedical pathways; natural language processing; dependency n-grams; machine learning; uncertainty identification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zerva, C. (2019). AUTOMATIC IDENTIFICATION OF TEXTUAL UNCERTAINTY. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318549

Chicago Manual of Style (16th Edition):

Zerva, Chrysoula. “AUTOMATIC IDENTIFICATION OF TEXTUAL UNCERTAINTY.” 2019. Doctoral Dissertation, University of Manchester. Accessed August 04, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318549.

MLA Handbook (7th Edition):

Zerva, Chrysoula. “AUTOMATIC IDENTIFICATION OF TEXTUAL UNCERTAINTY.” 2019. Web. 04 Aug 2020.

Vancouver:

Zerva C. AUTOMATIC IDENTIFICATION OF TEXTUAL UNCERTAINTY. [Internet] [Doctoral dissertation]. University of Manchester; 2019. [cited 2020 Aug 04]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318549.

Council of Science Editors:

Zerva C. AUTOMATIC IDENTIFICATION OF TEXTUAL UNCERTAINTY. [Doctoral Dissertation]. University of Manchester; 2019. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318549

13. Zerva, Chrysoula. Automatic identification of textual uncertainty.

Degree: PhD, 2019, University of Manchester

 The exponential increase in published research progressively perplexes the navigation of existing literature and the search of specific information for researchers, rendering the incorporation of… (more)

Subjects/Keywords: 004; machine learning; uncertainty identification; dependency n-grams; biomedical pathways; natural language processing; subjective logic; uncertainty; text mining; biomedical interaction networks

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APA (6th Edition):

Zerva, C. (2019). Automatic identification of textual uncertainty. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/automatic-identification-of-textual-uncertainty(581aa8d8-29bd-4c41-a0d0-0d6e588494e7).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771504

Chicago Manual of Style (16th Edition):

Zerva, Chrysoula. “Automatic identification of textual uncertainty.” 2019. Doctoral Dissertation, University of Manchester. Accessed August 04, 2020. https://www.research.manchester.ac.uk/portal/en/theses/automatic-identification-of-textual-uncertainty(581aa8d8-29bd-4c41-a0d0-0d6e588494e7).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771504.

MLA Handbook (7th Edition):

Zerva, Chrysoula. “Automatic identification of textual uncertainty.” 2019. Web. 04 Aug 2020.

Vancouver:

Zerva C. Automatic identification of textual uncertainty. [Internet] [Doctoral dissertation]. University of Manchester; 2019. [cited 2020 Aug 04]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/automatic-identification-of-textual-uncertainty(581aa8d8-29bd-4c41-a0d0-0d6e588494e7).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771504.

Council of Science Editors:

Zerva C. Automatic identification of textual uncertainty. [Doctoral Dissertation]. University of Manchester; 2019. Available from: https://www.research.manchester.ac.uk/portal/en/theses/automatic-identification-of-textual-uncertainty(581aa8d8-29bd-4c41-a0d0-0d6e588494e7).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771504

14. Lossio-Ventura, Juan Antonio. Towards the French Biomedical Ontology Enrichment : Vers l'enrichissement d'ontologies biomédicales françaises.

Degree: Docteur es, Informatique, 2015, Montpellier

En biomedicine, le domaine du « Big Data » (l'infobésité) pose le problème de l'analyse de gros volumes de données hétérogènes (i.e. vidéo, audio, texte,… (more)

Subjects/Keywords: Web sémantique; Traitement automatique du Langage; Ontologies biomédicales; BioNLP; Text Mining; Liaison des données; Semantic Web; Natural Language Processing; (biomedical) ontologies; BioNLP; Text/data mining; Linked data

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lossio-Ventura, J. A. (2015). Towards the French Biomedical Ontology Enrichment : Vers l'enrichissement d'ontologies biomédicales françaises. (Doctoral Dissertation). Montpellier. Retrieved from http://www.theses.fr/2015MONTS220

Chicago Manual of Style (16th Edition):

Lossio-Ventura, Juan Antonio. “Towards the French Biomedical Ontology Enrichment : Vers l'enrichissement d'ontologies biomédicales françaises.” 2015. Doctoral Dissertation, Montpellier. Accessed August 04, 2020. http://www.theses.fr/2015MONTS220.

MLA Handbook (7th Edition):

Lossio-Ventura, Juan Antonio. “Towards the French Biomedical Ontology Enrichment : Vers l'enrichissement d'ontologies biomédicales françaises.” 2015. Web. 04 Aug 2020.

Vancouver:

Lossio-Ventura JA. Towards the French Biomedical Ontology Enrichment : Vers l'enrichissement d'ontologies biomédicales françaises. [Internet] [Doctoral dissertation]. Montpellier; 2015. [cited 2020 Aug 04]. Available from: http://www.theses.fr/2015MONTS220.

Council of Science Editors:

Lossio-Ventura JA. Towards the French Biomedical Ontology Enrichment : Vers l'enrichissement d'ontologies biomédicales françaises. [Doctoral Dissertation]. Montpellier; 2015. Available from: http://www.theses.fr/2015MONTS220


University of Cincinnati

15. GUDIVADA, RANGA CHANDRA. DISCOVERY AND PRIORITIZATION OF BIOLOGICAL ENTITIES UNDERLYING COMPLEX DISORDERS BY PHENOME-GENOME NETWORK INTEGRATION.

Degree: PhD, Engineering : Biomedical Engineering, 2007, University of Cincinnati

 An important goal for biomedical research is to elucidate causal and modifier networks of human disease. While integrative functional genomics approaches have shown success in… (more)

Subjects/Keywords: Semantic Web; RDF; OWL; SPARQL; Ontology; Biomedical Informatics; Bioinformatics; Integrative Bioinformatics; Text Mining; Phenome; Genome; Disease Modularity; Data Integration; Semantic Integration

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

GUDIVADA, R. C. (2007). DISCOVERY AND PRIORITIZATION OF BIOLOGICAL ENTITIES UNDERLYING COMPLEX DISORDERS BY PHENOME-GENOME NETWORK INTEGRATION. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1195161740

Chicago Manual of Style (16th Edition):

GUDIVADA, RANGA CHANDRA. “DISCOVERY AND PRIORITIZATION OF BIOLOGICAL ENTITIES UNDERLYING COMPLEX DISORDERS BY PHENOME-GENOME NETWORK INTEGRATION.” 2007. Doctoral Dissertation, University of Cincinnati. Accessed August 04, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1195161740.

MLA Handbook (7th Edition):

GUDIVADA, RANGA CHANDRA. “DISCOVERY AND PRIORITIZATION OF BIOLOGICAL ENTITIES UNDERLYING COMPLEX DISORDERS BY PHENOME-GENOME NETWORK INTEGRATION.” 2007. Web. 04 Aug 2020.

Vancouver:

GUDIVADA RC. DISCOVERY AND PRIORITIZATION OF BIOLOGICAL ENTITIES UNDERLYING COMPLEX DISORDERS BY PHENOME-GENOME NETWORK INTEGRATION. [Internet] [Doctoral dissertation]. University of Cincinnati; 2007. [cited 2020 Aug 04]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1195161740.

Council of Science Editors:

GUDIVADA RC. DISCOVERY AND PRIORITIZATION OF BIOLOGICAL ENTITIES UNDERLYING COMPLEX DISORDERS BY PHENOME-GENOME NETWORK INTEGRATION. [Doctoral Dissertation]. University of Cincinnati; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1195161740


University of Washington

16. Yim, Wen-wai. Information extraction from clinical and radiology notes for liver cancer staging.

Degree: PhD, 2016, University of Washington

 Medical practice involves an astonishing amount of variation across individual clinicians, departments, and institutions. Adding to this condition, with the exponential pace of new discoveries… (more)

Subjects/Keywords: Clinical phenotype; Electronic medical records; Hepatocellular carcinoma; Information extraction; Liver cancer; Text mining; Information science; biomedical and health informatics

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APA (6th Edition):

Yim, W. (2016). Information extraction from clinical and radiology notes for liver cancer staging. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/36502

Chicago Manual of Style (16th Edition):

Yim, Wen-wai. “Information extraction from clinical and radiology notes for liver cancer staging.” 2016. Doctoral Dissertation, University of Washington. Accessed August 04, 2020. http://hdl.handle.net/1773/36502.

MLA Handbook (7th Edition):

Yim, Wen-wai. “Information extraction from clinical and radiology notes for liver cancer staging.” 2016. Web. 04 Aug 2020.

Vancouver:

Yim W. Information extraction from clinical and radiology notes for liver cancer staging. [Internet] [Doctoral dissertation]. University of Washington; 2016. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/1773/36502.

Council of Science Editors:

Yim W. Information extraction from clinical and radiology notes for liver cancer staging. [Doctoral Dissertation]. University of Washington; 2016. Available from: http://hdl.handle.net/1773/36502


University of the Western Cape

17. Kojo, Kwofie Samuel. Development of a Hepatitis C Virus knowledgebase with computational prediction of functional hypothesis of therapeutic relevance .

Degree: 2011, University of the Western Cape

 To ameliorate Hepatitis C Virus (HCV) therapeutic and diagnostic challenges requires robust intervention strategies, including approaches that leverage the plethora of rich data published in… (more)

Subjects/Keywords: Biomedical concepts; Database; Dictionaries; Hepatitis C Virus; Hepatocellular carcinoma; Hypothesis generation; Protein-protein interactions; Text mining

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APA (6th Edition):

Kojo, K. S. (2011). Development of a Hepatitis C Virus knowledgebase with computational prediction of functional hypothesis of therapeutic relevance . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/2898

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kojo, Kwofie Samuel. “Development of a Hepatitis C Virus knowledgebase with computational prediction of functional hypothesis of therapeutic relevance .” 2011. Thesis, University of the Western Cape. Accessed August 04, 2020. http://hdl.handle.net/11394/2898.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kojo, Kwofie Samuel. “Development of a Hepatitis C Virus knowledgebase with computational prediction of functional hypothesis of therapeutic relevance .” 2011. Web. 04 Aug 2020.

Vancouver:

Kojo KS. Development of a Hepatitis C Virus knowledgebase with computational prediction of functional hypothesis of therapeutic relevance . [Internet] [Thesis]. University of the Western Cape; 2011. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/11394/2898.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kojo KS. Development of a Hepatitis C Virus knowledgebase with computational prediction of functional hypothesis of therapeutic relevance . [Thesis]. University of the Western Cape; 2011. Available from: http://hdl.handle.net/11394/2898

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of the Western Cape

18. Samuel, Kojo Kwofie. Development of a hepatitis C virus knowledgebase with computational prediction of functional hypothesis of therapeutic relevance .

Degree: 2011, University of the Western Cape

 To ameliorate Hepatitis C Virus (HCV) therapeutic and diagnostic challenges requires robust intervention strategies, including approaches that leverage the plethora of rich data published in… (more)

Subjects/Keywords: Abstract; Association; Biomedical concepts; Database; Dictionaries; Hepatitis C virus; Hepatocellular carcinoma; Hypothesis generation; Protein-protein interactions; Text mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Samuel, K. K. (2011). Development of a hepatitis C virus knowledgebase with computational prediction of functional hypothesis of therapeutic relevance . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/3560

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Samuel, Kojo Kwofie. “Development of a hepatitis C virus knowledgebase with computational prediction of functional hypothesis of therapeutic relevance .” 2011. Thesis, University of the Western Cape. Accessed August 04, 2020. http://hdl.handle.net/11394/3560.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Samuel, Kojo Kwofie. “Development of a hepatitis C virus knowledgebase with computational prediction of functional hypothesis of therapeutic relevance .” 2011. Web. 04 Aug 2020.

Vancouver:

Samuel KK. Development of a hepatitis C virus knowledgebase with computational prediction of functional hypothesis of therapeutic relevance . [Internet] [Thesis]. University of the Western Cape; 2011. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/11394/3560.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Samuel KK. Development of a hepatitis C virus knowledgebase with computational prediction of functional hypothesis of therapeutic relevance . [Thesis]. University of the Western Cape; 2011. Available from: http://hdl.handle.net/11394/3560

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Arizona State University

19. Emadzadeh, Ehsan. Context-Aware Adaptive Hybrid Semantic Relatedness in Biomedical Science.

Degree: Biomedical Informatics, 2016, Arizona State University

Text mining of biomedical literature and clinical notes is a very active field of research in biomedical science. Semantic analysis is one of the core… (more)

Subjects/Keywords: Computer science; Health sciences; Nanotechnology; biomedical informatics; natural language processing; semantic analysis; semantic relatedness; text mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Emadzadeh, E. (2016). Context-Aware Adaptive Hybrid Semantic Relatedness in Biomedical Science. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/38725

Chicago Manual of Style (16th Edition):

Emadzadeh, Ehsan. “Context-Aware Adaptive Hybrid Semantic Relatedness in Biomedical Science.” 2016. Doctoral Dissertation, Arizona State University. Accessed August 04, 2020. http://repository.asu.edu/items/38725.

MLA Handbook (7th Edition):

Emadzadeh, Ehsan. “Context-Aware Adaptive Hybrid Semantic Relatedness in Biomedical Science.” 2016. Web. 04 Aug 2020.

Vancouver:

Emadzadeh E. Context-Aware Adaptive Hybrid Semantic Relatedness in Biomedical Science. [Internet] [Doctoral dissertation]. Arizona State University; 2016. [cited 2020 Aug 04]. Available from: http://repository.asu.edu/items/38725.

Council of Science Editors:

Emadzadeh E. Context-Aware Adaptive Hybrid Semantic Relatedness in Biomedical Science. [Doctoral Dissertation]. Arizona State University; 2016. Available from: http://repository.asu.edu/items/38725


Queens University

20. Denroche, Robert. Automatic Identification of Protein Characterization Articles in support of Database Curation .

Degree: Computing, 2010, Queens University

 Experimentally determining the biological function of a protein is a process known as protein characterization. Establishing the role a specific protein plays is a vital… (more)

Subjects/Keywords: machine learning ; database curation ; bioinformatics ; classification ; biomedical text mining

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APA (6th Edition):

Denroche, R. (2010). Automatic Identification of Protein Characterization Articles in support of Database Curation . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/5415

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Denroche, Robert. “Automatic Identification of Protein Characterization Articles in support of Database Curation .” 2010. Thesis, Queens University. Accessed August 04, 2020. http://hdl.handle.net/1974/5415.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Denroche, Robert. “Automatic Identification of Protein Characterization Articles in support of Database Curation .” 2010. Web. 04 Aug 2020.

Vancouver:

Denroche R. Automatic Identification of Protein Characterization Articles in support of Database Curation . [Internet] [Thesis]. Queens University; 2010. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/1974/5415.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Denroche R. Automatic Identification of Protein Characterization Articles in support of Database Curation . [Thesis]. Queens University; 2010. Available from: http://hdl.handle.net/1974/5415

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

21. ZUO LI. Recognition of transcription factor interactions based on NLP and artificial intelligence.

Degree: 2004, National University of Singapore

Subjects/Keywords: transcription factor; transcription factor relations; text-mining; biomedical text; NLP; database

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APA (6th Edition):

LI, Z. (2004). Recognition of transcription factor interactions based on NLP and artificial intelligence. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/27709

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

LI, ZUO. “Recognition of transcription factor interactions based on NLP and artificial intelligence.” 2004. Thesis, National University of Singapore. Accessed August 04, 2020. http://scholarbank.nus.edu.sg/handle/10635/27709.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

LI, ZUO. “Recognition of transcription factor interactions based on NLP and artificial intelligence.” 2004. Web. 04 Aug 2020.

Vancouver:

LI Z. Recognition of transcription factor interactions based on NLP and artificial intelligence. [Internet] [Thesis]. National University of Singapore; 2004. [cited 2020 Aug 04]. Available from: http://scholarbank.nus.edu.sg/handle/10635/27709.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

LI Z. Recognition of transcription factor interactions based on NLP and artificial intelligence. [Thesis]. National University of Singapore; 2004. Available from: http://scholarbank.nus.edu.sg/handle/10635/27709

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Waterloo

22. Alliheedi, Mohammed. Procedurally Rhetorical Verb-Centric Frame Semantics as a Knowledge Representation for Argumentation Analysis of Biochemistry Articles.

Degree: 2019, University of Waterloo

 The central focus of this thesis is rhetorical moves in biochemistry articles. Kanoksilapatham has provided a descriptive theory of rhetorical moves that extends Swales' CARS… (more)

Subjects/Keywords: biomedical corpus creation; experimental procedures analysis; argumentation mining; argumentation analysis; rhetorical moves; semantic roles; verb frames; biomedical text analysis; experimental procedures ontology; annotation of semantic roles; annotation of rheotrical moves

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Alliheedi, M. (2019). Procedurally Rhetorical Verb-Centric Frame Semantics as a Knowledge Representation for Argumentation Analysis of Biochemistry Articles. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15021

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Alliheedi, Mohammed. “Procedurally Rhetorical Verb-Centric Frame Semantics as a Knowledge Representation for Argumentation Analysis of Biochemistry Articles.” 2019. Thesis, University of Waterloo. Accessed August 04, 2020. http://hdl.handle.net/10012/15021.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Alliheedi, Mohammed. “Procedurally Rhetorical Verb-Centric Frame Semantics as a Knowledge Representation for Argumentation Analysis of Biochemistry Articles.” 2019. Web. 04 Aug 2020.

Vancouver:

Alliheedi M. Procedurally Rhetorical Verb-Centric Frame Semantics as a Knowledge Representation for Argumentation Analysis of Biochemistry Articles. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/10012/15021.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alliheedi M. Procedurally Rhetorical Verb-Centric Frame Semantics as a Knowledge Representation for Argumentation Analysis of Biochemistry Articles. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/15021

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade do Minho

23. Alves, Tiago Alexandre Pinto. Development of text mining tools for information retrieval and extraction from patents .

Degree: 2016, Universidade do Minho

Biomedical literature is composed of a large and ever increasing number of publications, written in natural language. Patents are a relevant fraction of these publications,… (more)

Subjects/Keywords: Biomedical text mining; Patents; Information retrieval task; Optical character recognition; @note2; Mineração de textos biomédicos; Patentes; Obtenção de informação; Reconhecimento ótico de caracteres

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Alves, T. A. P. (2016). Development of text mining tools for information retrieval and extraction from patents . (Masters Thesis). Universidade do Minho. Retrieved from http://hdl.handle.net/1822/47441

Chicago Manual of Style (16th Edition):

Alves, Tiago Alexandre Pinto. “Development of text mining tools for information retrieval and extraction from patents .” 2016. Masters Thesis, Universidade do Minho. Accessed August 04, 2020. http://hdl.handle.net/1822/47441.

MLA Handbook (7th Edition):

Alves, Tiago Alexandre Pinto. “Development of text mining tools for information retrieval and extraction from patents .” 2016. Web. 04 Aug 2020.

Vancouver:

Alves TAP. Development of text mining tools for information retrieval and extraction from patents . [Internet] [Masters thesis]. Universidade do Minho; 2016. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/1822/47441.

Council of Science Editors:

Alves TAP. Development of text mining tools for information retrieval and extraction from patents . [Masters Thesis]. Universidade do Minho; 2016. Available from: http://hdl.handle.net/1822/47441

24. Alnazzawi, Noha Abdulkareem D. Linking Clinical Records to the Biomedical Literature.

Degree: 2016, University of Manchester

 Narrative information in Electronic Health Records (EHRs) contains a wealth of clinical information about treatments, diagnosis, medication and family history. In addition, the scientific literature… (more)

Subjects/Keywords: Electronic health records; Biomedical literature; text mining; natural language processing

…applied to both text types. 2.1 Biomedical text mining Biomedical TM accelerates knowledge… …National Centre for Text Mining (NaCTeM). Special mention goes to Claudiu, George, Matt… …literature. in Proceedings of the 5th International Workshop on Health Text Mining and Information… …text mining techniques to extract phenotypic information from the PhenoCHF corpus. BMC… …Ananiadou, S. Mining the Biomedical Literature. Healthcare Data Analytics, 2015. 36: p. 251. 4… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Alnazzawi, N. A. D. (2016). Linking Clinical Records to the Biomedical Literature. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:303465

Chicago Manual of Style (16th Edition):

Alnazzawi, Noha Abdulkareem D. “Linking Clinical Records to the Biomedical Literature.” 2016. Doctoral Dissertation, University of Manchester. Accessed August 04, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:303465.

MLA Handbook (7th Edition):

Alnazzawi, Noha Abdulkareem D. “Linking Clinical Records to the Biomedical Literature.” 2016. Web. 04 Aug 2020.

Vancouver:

Alnazzawi NAD. Linking Clinical Records to the Biomedical Literature. [Internet] [Doctoral dissertation]. University of Manchester; 2016. [cited 2020 Aug 04]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:303465.

Council of Science Editors:

Alnazzawi NAD. Linking Clinical Records to the Biomedical Literature. [Doctoral Dissertation]. University of Manchester; 2016. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:303465


University of Akron

25. Kumar, Vivek. Computational Prediction of Protein-Protein Interactions on the Proteomic Scale Using Bayesian Ensemble of Multiple Feature Databases.

Degree: PhD, Biomedical Engineering, 2011, University of Akron

  In the post-genomic world, one of the most important and challenging problems is to understand protein-protein interactions (PPIs) on a large scale. They are… (more)

Subjects/Keywords: Bioinformatics; Biomedical Engineering; Biostatistics; Computer Science; Molecular Biology; protein-protein interactions; bayesian ensemble; proteome; databases; ontology; text mining; drug discovery; graphs; networks; semantic web; gene expression

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kumar, V. (2011). Computational Prediction of Protein-Protein Interactions on the Proteomic Scale Using Bayesian Ensemble of Multiple Feature Databases. (Doctoral Dissertation). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1322489637

Chicago Manual of Style (16th Edition):

Kumar, Vivek. “Computational Prediction of Protein-Protein Interactions on the Proteomic Scale Using Bayesian Ensemble of Multiple Feature Databases.” 2011. Doctoral Dissertation, University of Akron. Accessed August 04, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=akron1322489637.

MLA Handbook (7th Edition):

Kumar, Vivek. “Computational Prediction of Protein-Protein Interactions on the Proteomic Scale Using Bayesian Ensemble of Multiple Feature Databases.” 2011. Web. 04 Aug 2020.

Vancouver:

Kumar V. Computational Prediction of Protein-Protein Interactions on the Proteomic Scale Using Bayesian Ensemble of Multiple Feature Databases. [Internet] [Doctoral dissertation]. University of Akron; 2011. [cited 2020 Aug 04]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1322489637.

Council of Science Editors:

Kumar V. Computational Prediction of Protein-Protein Interactions on the Proteomic Scale Using Bayesian Ensemble of Multiple Feature Databases. [Doctoral Dissertation]. University of Akron; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1322489637

26. Kocbek, Simon. KLASIFIKACIJA TOPNOSTI PROTEINOV V PROSTORU BIOMEDICINSKIH KONCEPTOV TEKSTOVNE ANALIZE.

Degree: 2011, Univerza v Mariboru

Proteini so pomemben del vsakega organizma in imajo številne pomembne funkcije, katere so v veliki meri odvisne od strukture proteina. Zadnja je mnogokrat predmet raziskav,… (more)

Subjects/Keywords: strojno učenje; klasifikacija topnosti proteinov; biomedicinski koncept; izbira atributov; tekstovno rudarjenje; machine learning; protein solubility classification; biomedical concept; feature selection; text mining; info:eu-repo/classification/udc/004.8:004.62:577.112.089(043.3)

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APA (6th Edition):

Kocbek, S. (2011). KLASIFIKACIJA TOPNOSTI PROTEINOV V PROSTORU BIOMEDICINSKIH KONCEPTOV TEKSTOVNE ANALIZE. (Doctoral Dissertation). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=21267 ; https://dk.um.si/Dokument.php?id=26850&dn= ; https://plus.si.cobiss.net/opac7/bib/15496470?lang=sl

Chicago Manual of Style (16th Edition):

Kocbek, Simon. “KLASIFIKACIJA TOPNOSTI PROTEINOV V PROSTORU BIOMEDICINSKIH KONCEPTOV TEKSTOVNE ANALIZE.” 2011. Doctoral Dissertation, Univerza v Mariboru. Accessed August 04, 2020. https://dk.um.si/IzpisGradiva.php?id=21267 ; https://dk.um.si/Dokument.php?id=26850&dn= ; https://plus.si.cobiss.net/opac7/bib/15496470?lang=sl.

MLA Handbook (7th Edition):

Kocbek, Simon. “KLASIFIKACIJA TOPNOSTI PROTEINOV V PROSTORU BIOMEDICINSKIH KONCEPTOV TEKSTOVNE ANALIZE.” 2011. Web. 04 Aug 2020.

Vancouver:

Kocbek S. KLASIFIKACIJA TOPNOSTI PROTEINOV V PROSTORU BIOMEDICINSKIH KONCEPTOV TEKSTOVNE ANALIZE. [Internet] [Doctoral dissertation]. Univerza v Mariboru; 2011. [cited 2020 Aug 04]. Available from: https://dk.um.si/IzpisGradiva.php?id=21267 ; https://dk.um.si/Dokument.php?id=26850&dn= ; https://plus.si.cobiss.net/opac7/bib/15496470?lang=sl.

Council of Science Editors:

Kocbek S. KLASIFIKACIJA TOPNOSTI PROTEINOV V PROSTORU BIOMEDICINSKIH KONCEPTOV TEKSTOVNE ANALIZE. [Doctoral Dissertation]. Univerza v Mariboru; 2011. Available from: https://dk.um.si/IzpisGradiva.php?id=21267 ; https://dk.um.si/Dokument.php?id=26850&dn= ; https://plus.si.cobiss.net/opac7/bib/15496470?lang=sl


Georgia Tech

27. Liu, Ying. Text Mining Biomedical Literature for Genomic Knowledge Discovery.

Degree: PhD, Computing, 2005, Georgia Tech

 The last decade has been marked by unprecedented growth in both the production of biomedical data and the amount of published literature discussing it. Almost… (more)

Subjects/Keywords: Text mining; Biomedical literature; Gene function; Clustering; Genomic knowledge discovery; Microarray

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liu, Y. (2005). Text Mining Biomedical Literature for Genomic Knowledge Discovery. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7242

Chicago Manual of Style (16th Edition):

Liu, Ying. “Text Mining Biomedical Literature for Genomic Knowledge Discovery.” 2005. Doctoral Dissertation, Georgia Tech. Accessed August 04, 2020. http://hdl.handle.net/1853/7242.

MLA Handbook (7th Edition):

Liu, Ying. “Text Mining Biomedical Literature for Genomic Knowledge Discovery.” 2005. Web. 04 Aug 2020.

Vancouver:

Liu Y. Text Mining Biomedical Literature for Genomic Knowledge Discovery. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/1853/7242.

Council of Science Editors:

Liu Y. Text Mining Biomedical Literature for Genomic Knowledge Discovery. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/7242

28. Mihaila, Claudiu. Discourse Causality Recognition in the Biomedical Domain.

Degree: 2014, University of Manchester

 With the advent of online publishing of scientific research came an avalanche of electronic resources and repositories containing knowledge encoded in some form or another.… (more)

Subjects/Keywords: discourse analysis; discourse causality; biomedical causality; biomedical text mining; biomedical literature

biomedical knowledge (Cohen and Hunter, 2008). Based on this need, biomedical text mining… …Kemper et al., 2010). Using biomedical text mining technology, text can now be enriched… …attention as an important source of information in biomedical text mining (Tsuruoka et al… …Vector Machine TM text mining TP true positive TSVM transductive support vector machine… …characteristics. Then, a methodology for automatically recognising causal relations using text mining… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mihaila, C. (2014). Discourse Causality Recognition in the Biomedical Domain. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:227426

Chicago Manual of Style (16th Edition):

Mihaila, Claudiu. “Discourse Causality Recognition in the Biomedical Domain.” 2014. Doctoral Dissertation, University of Manchester. Accessed August 04, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:227426.

MLA Handbook (7th Edition):

Mihaila, Claudiu. “Discourse Causality Recognition in the Biomedical Domain.” 2014. Web. 04 Aug 2020.

Vancouver:

Mihaila C. Discourse Causality Recognition in the Biomedical Domain. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2020 Aug 04]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:227426.

Council of Science Editors:

Mihaila C. Discourse Causality Recognition in the Biomedical Domain. [Doctoral Dissertation]. University of Manchester; 2014. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:227426

29. Alrdahi, Haifa Saleh T. Answering Host and Parasite Check-List Questions from Parasitology Literature.

Degree: 2019, University of Manchester

 Experimental meta-data (EM) reporting is a fundamental field for reproducing and understanding biomedical experiments and results. Experimental Metadata Reporting Checklist Questions (EMR-CLQs) have been designed… (more)

Subjects/Keywords: Text Mining; Biomedical Articles; Articles Full-text; Checklists; Reporting Guidelines; Question Answering; Biomedical Text Mining; Reproducibility; Experimental Metadata; Rule-based System

…medical article. A text mining workflow (rule-based approach) was proposed to automate… …me the perfectionism and passion about text mining that will always be with me. I would… …List Questions TM Text Mining BK Background Knowledge KB Knowledge B IE Information… …text mining (TM) has a long history as an automatic process for extracting… …information from free text. Text mining is also recommended to be a useful method for automating the… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Alrdahi, H. S. T. (2019). Answering Host and Parasite Check-List Questions from Parasitology Literature. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318426

Chicago Manual of Style (16th Edition):

Alrdahi, Haifa Saleh T. “Answering Host and Parasite Check-List Questions from Parasitology Literature.” 2019. Doctoral Dissertation, University of Manchester. Accessed August 04, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318426.

MLA Handbook (7th Edition):

Alrdahi, Haifa Saleh T. “Answering Host and Parasite Check-List Questions from Parasitology Literature.” 2019. Web. 04 Aug 2020.

Vancouver:

Alrdahi HST. Answering Host and Parasite Check-List Questions from Parasitology Literature. [Internet] [Doctoral dissertation]. University of Manchester; 2019. [cited 2020 Aug 04]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318426.

Council of Science Editors:

Alrdahi HST. Answering Host and Parasite Check-List Questions from Parasitology Literature. [Doctoral Dissertation]. University of Manchester; 2019. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318426

30. Sarafraz, Farzaneh. Finding Conflicting Statements in the Biomedical Literature.

Degree: 2012, University of Manchester

 The main archive of life sciences literature currently contains more than 18,000,000 references, and it is virtually impossible for any human to stay up-to-date with… (more)

Subjects/Keywords: Text Mining; Natural Language Processing; Information Extraction; Biomedical Text Mining; Bioinformatics; Negation; Contradiction; Contrast; Literature-based discovery; Molecular Event Extraction

…the biomedical and text mining research communities, including the contextualised events and… …contradictions, and contrasts in general, and in biomedical text mining in particular. Before that, we… …shall provide a brief summary of the main challenges in the field of biomedical text mining… …conflicting statements. Section 2.3 explores the challenges in biomedical text mining that are… …used in biomedical text mining. 34 Chapter 2 Background 2.1 Information extraction… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sarafraz, F. (2012). Finding Conflicting Statements in the Biomedical Literature. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:157382

Chicago Manual of Style (16th Edition):

Sarafraz, Farzaneh. “Finding Conflicting Statements in the Biomedical Literature.” 2012. Doctoral Dissertation, University of Manchester. Accessed August 04, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:157382.

MLA Handbook (7th Edition):

Sarafraz, Farzaneh. “Finding Conflicting Statements in the Biomedical Literature.” 2012. Web. 04 Aug 2020.

Vancouver:

Sarafraz F. Finding Conflicting Statements in the Biomedical Literature. [Internet] [Doctoral dissertation]. University of Manchester; 2012. [cited 2020 Aug 04]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:157382.

Council of Science Editors:

Sarafraz F. Finding Conflicting Statements in the Biomedical Literature. [Doctoral Dissertation]. University of Manchester; 2012. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:157382

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