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You searched for +publisher:"Vanderbilt University" +contributor:("Joshua C Denny"). Showing records 1 – 17 of 17 total matches.

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Vanderbilt University

1. Tamersoy, Acar. Anonymization of Longitudinal Electronic Medical Records for Clinical Research.

Degree: MS, Biomedical Informatics, 2011, Vanderbilt University

 Electronic medical record (EMR) systems have enabled healthcare providers to collect detailed patient information from the primary care domain. At the same time, longitudinal data… (more)

Subjects/Keywords: Privacy; Algorithms; Anonymization; Longitudinal Data; Electronic Medical Records

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

APA (6th Edition):

Tamersoy, A. (2011). Anonymization of Longitudinal Electronic Medical Records for Clinical Research. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12512

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):

Tamersoy, Acar. “Anonymization of Longitudinal Electronic Medical Records for Clinical Research.” 2011. Thesis, Vanderbilt University. Accessed March 07, 2021. http://hdl.handle.net/1803/12512.

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

MLA Handbook (7th Edition):

Tamersoy, Acar. “Anonymization of Longitudinal Electronic Medical Records for Clinical Research.” 2011. Web. 07 Mar 2021.

Vancouver:

Tamersoy A. Anonymization of Longitudinal Electronic Medical Records for Clinical Research. [Internet] [Thesis]. Vanderbilt University; 2011. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1803/12512.

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

Council of Science Editors:

Tamersoy A. Anonymization of Longitudinal Electronic Medical Records for Clinical Research. [Thesis]. Vanderbilt University; 2011. Available from: http://hdl.handle.net/1803/12512

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


Vanderbilt University

2. Wiley, Laura Katherine. Discovery and Replication of Pathway-Based Trans-Expression Quantitative Trait Loci.

Degree: MS, Biomedical Informatics, 2014, Vanderbilt University

 A logical mechanism by which SNPs affect the pathophysiology of disease is through altering the expression of genes. Several studies have explored how SNPs alter… (more)

Subjects/Keywords: trans-eQTL; SPIA; KEGG; gene expression

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APA (6th Edition):

Wiley, L. K. (2014). Discovery and Replication of Pathway-Based Trans-Expression Quantitative Trait Loci. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13081

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):

Wiley, Laura Katherine. “Discovery and Replication of Pathway-Based Trans-Expression Quantitative Trait Loci.” 2014. Thesis, Vanderbilt University. Accessed March 07, 2021. http://hdl.handle.net/1803/13081.

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

MLA Handbook (7th Edition):

Wiley, Laura Katherine. “Discovery and Replication of Pathway-Based Trans-Expression Quantitative Trait Loci.” 2014. Web. 07 Mar 2021.

Vancouver:

Wiley LK. Discovery and Replication of Pathway-Based Trans-Expression Quantitative Trait Loci. [Internet] [Thesis]. Vanderbilt University; 2014. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1803/13081.

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

Council of Science Editors:

Wiley LK. Discovery and Replication of Pathway-Based Trans-Expression Quantitative Trait Loci. [Thesis]. Vanderbilt University; 2014. Available from: http://hdl.handle.net/1803/13081

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


Vanderbilt University

3. Atreya, Ravi Viswanathan. Temporal Abstraction for Generating Quality Metrics for Breast Cancer Treatment.

Degree: MS, Biomedical Informatics, 2015, Vanderbilt University

 Monitoring quality metrics continuously in breast cancer care can help healthcare providers and organizations engage with patients, advance the delivery of care, and tackle financial… (more)

Subjects/Keywords: data visualization; quality measures; breast cancer; temporal abstraction

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APA (6th Edition):

Atreya, R. V. (2015). Temporal Abstraction for Generating Quality Metrics for Breast Cancer Treatment. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13089

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):

Atreya, Ravi Viswanathan. “Temporal Abstraction for Generating Quality Metrics for Breast Cancer Treatment.” 2015. Thesis, Vanderbilt University. Accessed March 07, 2021. http://hdl.handle.net/1803/13089.

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

MLA Handbook (7th Edition):

Atreya, Ravi Viswanathan. “Temporal Abstraction for Generating Quality Metrics for Breast Cancer Treatment.” 2015. Web. 07 Mar 2021.

Vancouver:

Atreya RV. Temporal Abstraction for Generating Quality Metrics for Breast Cancer Treatment. [Internet] [Thesis]. Vanderbilt University; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1803/13089.

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

Council of Science Editors:

Atreya RV. Temporal Abstraction for Generating Quality Metrics for Breast Cancer Treatment. [Thesis]. Vanderbilt University; 2015. Available from: http://hdl.handle.net/1803/13089

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


Vanderbilt University

4. Chen, Yukun. Applying Active Learning to Biomedical Text Processing.

Degree: MS, Biomedical Informatics, 2013, Vanderbilt University

 Objective: Supervised machine learning methods have shown good performance in text classification tasks in the biomedical domain, but they often require large annotated corpora, which… (more)

Subjects/Keywords: Active Learning; Natural Laugnage Processing; Biomedical Text Processing; Machine Learning

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APA (6th Edition):

Chen, Y. (2013). Applying Active Learning to Biomedical Text Processing. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12949

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):

Chen, Yukun. “Applying Active Learning to Biomedical Text Processing.” 2013. Thesis, Vanderbilt University. Accessed March 07, 2021. http://hdl.handle.net/1803/12949.

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

MLA Handbook (7th Edition):

Chen, Yukun. “Applying Active Learning to Biomedical Text Processing.” 2013. Web. 07 Mar 2021.

Vancouver:

Chen Y. Applying Active Learning to Biomedical Text Processing. [Internet] [Thesis]. Vanderbilt University; 2013. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1803/12949.

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

Council of Science Editors:

Chen Y. Applying Active Learning to Biomedical Text Processing. [Thesis]. Vanderbilt University; 2013. Available from: http://hdl.handle.net/1803/12949

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


Vanderbilt University

5. Shuey, Megan Marie. Pharmacogenetics of Resistant Hypertension: Leveraging the Electronic Medical Record.

Degree: PhD, Pharmacology, 2018, Vanderbilt University

 Patients with resistant hypertension have uncontrolled blood pressure despite concurrent treatment with three or more antihypertensive medications including a thiazide diuretic. Compared to patients with… (more)

Subjects/Keywords: CYP4A11; Blood Pressure response; Resistant Hypertension; Antihypertensive Medications; Electronic Medical Records; Spironolactone

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

APA (6th Edition):

Shuey, M. M. (2018). Pharmacogenetics of Resistant Hypertension: Leveraging the Electronic Medical Record. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/15419

Chicago Manual of Style (16th Edition):

Shuey, Megan Marie. “Pharmacogenetics of Resistant Hypertension: Leveraging the Electronic Medical Record.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed March 07, 2021. http://hdl.handle.net/1803/15419.

MLA Handbook (7th Edition):

Shuey, Megan Marie. “Pharmacogenetics of Resistant Hypertension: Leveraging the Electronic Medical Record.” 2018. Web. 07 Mar 2021.

Vancouver:

Shuey MM. Pharmacogenetics of Resistant Hypertension: Leveraging the Electronic Medical Record. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1803/15419.

Council of Science Editors:

Shuey MM. Pharmacogenetics of Resistant Hypertension: Leveraging the Electronic Medical Record. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://hdl.handle.net/1803/15419


Vanderbilt University

6. Atreya, Ravi Viswanathan. Pathway Exploration for Breast Cancer Care.

Degree: PhD, Biomedical Informatics, 2017, Vanderbilt University

 Pathway exploration can support clinical research efforts and shared decision making between providers, patients, and their families. In this work, we extend the Pathfinder temporal… (more)

Subjects/Keywords: breast cancer; clinical informatics; pathway exploration; data mining; data visualization

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

APA (6th Edition):

Atreya, R. V. (2017). Pathway Exploration for Breast Cancer Care. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12402

Chicago Manual of Style (16th Edition):

Atreya, Ravi Viswanathan. “Pathway Exploration for Breast Cancer Care.” 2017. Doctoral Dissertation, Vanderbilt University. Accessed March 07, 2021. http://hdl.handle.net/1803/12402.

MLA Handbook (7th Edition):

Atreya, Ravi Viswanathan. “Pathway Exploration for Breast Cancer Care.” 2017. Web. 07 Mar 2021.

Vancouver:

Atreya RV. Pathway Exploration for Breast Cancer Care. [Internet] [Doctoral dissertation]. Vanderbilt University; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1803/12402.

Council of Science Editors:

Atreya RV. Pathway Exploration for Breast Cancer Care. [Doctoral Dissertation]. Vanderbilt University; 2017. Available from: http://hdl.handle.net/1803/12402


Vanderbilt University

7. Wiley, Laura Katherine. Addressing Barriers to Clinical Implementation of Pharmacogenomics.

Degree: PhD, Human Genetics, 2016, Vanderbilt University

 Pharmacogenomics offers one of the best use cases for widespread clinical implementation of genomic medicine, as variants tend to have moderate allele frequencies, many of… (more)

Subjects/Keywords: warfarin; precision medicine; translational bioinformatics; policy

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APA (6th Edition):

Wiley, L. K. (2016). Addressing Barriers to Clinical Implementation of Pharmacogenomics. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11632

Chicago Manual of Style (16th Edition):

Wiley, Laura Katherine. “Addressing Barriers to Clinical Implementation of Pharmacogenomics.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed March 07, 2021. http://hdl.handle.net/1803/11632.

MLA Handbook (7th Edition):

Wiley, Laura Katherine. “Addressing Barriers to Clinical Implementation of Pharmacogenomics.” 2016. Web. 07 Mar 2021.

Vancouver:

Wiley LK. Addressing Barriers to Clinical Implementation of Pharmacogenomics. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1803/11632.

Council of Science Editors:

Wiley LK. Addressing Barriers to Clinical Implementation of Pharmacogenomics. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://hdl.handle.net/1803/11632


Vanderbilt University

8. Khan, Naqi Ali. Clinical Encounter Information Flow: Applications In Evaluating Medical Documentation Tools.

Degree: MS, Biomedical Informatics, 2012, Vanderbilt University

 There is little research on how clinically relevant concepts are transferred from a patient, through a healthcare provider, and then to a resultant clinical note.… (more)

Subjects/Keywords: clinical simulation semantic similarity snomed snomed-ct evaluation systems biomedical informatics

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APA (6th Edition):

Khan, N. A. (2012). Clinical Encounter Information Flow: Applications In Evaluating Medical Documentation Tools. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14813

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):

Khan, Naqi Ali. “Clinical Encounter Information Flow: Applications In Evaluating Medical Documentation Tools.” 2012. Thesis, Vanderbilt University. Accessed March 07, 2021. http://hdl.handle.net/1803/14813.

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

MLA Handbook (7th Edition):

Khan, Naqi Ali. “Clinical Encounter Information Flow: Applications In Evaluating Medical Documentation Tools.” 2012. Web. 07 Mar 2021.

Vancouver:

Khan NA. Clinical Encounter Information Flow: Applications In Evaluating Medical Documentation Tools. [Internet] [Thesis]. Vanderbilt University; 2012. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1803/14813.

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

Council of Science Editors:

Khan NA. Clinical Encounter Information Flow: Applications In Evaluating Medical Documentation Tools. [Thesis]. Vanderbilt University; 2012. Available from: http://hdl.handle.net/1803/14813

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


Vanderbilt University

9. Smith, Joshua Carl. Exploring Adverse Drug Effect Discovery from Data Mining of Clinical Notes.

Degree: MS, Biomedical Informatics, 2012, Vanderbilt University

 Many medications have potentially serious adverse effects detected only after FDA approval. After 80 million people worldwide received prescriptions for the drug rofecoxib (Vioxx), its… (more)

Subjects/Keywords: pharmacovigilance; adverse drug effects; natural language processing; data mining

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APA (6th Edition):

Smith, J. C. (2012). Exploring Adverse Drug Effect Discovery from Data Mining of Clinical Notes. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12783

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):

Smith, Joshua Carl. “Exploring Adverse Drug Effect Discovery from Data Mining of Clinical Notes.” 2012. Thesis, Vanderbilt University. Accessed March 07, 2021. http://hdl.handle.net/1803/12783.

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

MLA Handbook (7th Edition):

Smith, Joshua Carl. “Exploring Adverse Drug Effect Discovery from Data Mining of Clinical Notes.” 2012. Web. 07 Mar 2021.

Vancouver:

Smith JC. Exploring Adverse Drug Effect Discovery from Data Mining of Clinical Notes. [Internet] [Thesis]. Vanderbilt University; 2012. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1803/12783.

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

Council of Science Editors:

Smith JC. Exploring Adverse Drug Effect Discovery from Data Mining of Clinical Notes. [Thesis]. Vanderbilt University; 2012. Available from: http://hdl.handle.net/1803/12783

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


Vanderbilt University

10. Chen, Yukun. Active Learning for Named Entity Recognition in Clinical Text.

Degree: PhD, Biomedical Informatics, 2015, Vanderbilt University

 Named entity recognition (NER) is one of the fundamental tasks for building clinical natural language processing (NLP) systems. Machine learning (ML) based approaches can achieve… (more)

Subjects/Keywords: natural language processing; named entity recognition; machine learning; Active learning; clinical NLP

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APA (6th Edition):

Chen, Y. (2015). Active Learning for Named Entity Recognition in Clinical Text. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12541

Chicago Manual of Style (16th Edition):

Chen, Yukun. “Active Learning for Named Entity Recognition in Clinical Text.” 2015. Doctoral Dissertation, Vanderbilt University. Accessed March 07, 2021. http://hdl.handle.net/1803/12541.

MLA Handbook (7th Edition):

Chen, Yukun. “Active Learning for Named Entity Recognition in Clinical Text.” 2015. Web. 07 Mar 2021.

Vancouver:

Chen Y. Active Learning for Named Entity Recognition in Clinical Text. [Internet] [Doctoral dissertation]. Vanderbilt University; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1803/12541.

Council of Science Editors:

Chen Y. Active Learning for Named Entity Recognition in Clinical Text. [Doctoral Dissertation]. Vanderbilt University; 2015. Available from: http://hdl.handle.net/1803/12541


Vanderbilt University

11. Smith, Joshua Carl. Adverse Drug Effect Detection for Clinical Decision Support.

Degree: PhD, Biomedical Informatics, 2016, Vanderbilt University

 Unrecognized adverse drug effects (ADEs) pose a serious clinical problem. They negatively affect patients’ health and quality of life, generate preventable emergency department visits and… (more)

Subjects/Keywords: clinical decision support; natural language processing; adverse drug effects; drug knowledgebases; ADE; ADR

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APA (6th Edition):

Smith, J. C. (2016). Adverse Drug Effect Detection for Clinical Decision Support. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11527

Chicago Manual of Style (16th Edition):

Smith, Joshua Carl. “Adverse Drug Effect Detection for Clinical Decision Support.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed March 07, 2021. http://hdl.handle.net/1803/11527.

MLA Handbook (7th Edition):

Smith, Joshua Carl. “Adverse Drug Effect Detection for Clinical Decision Support.” 2016. Web. 07 Mar 2021.

Vancouver:

Smith JC. Adverse Drug Effect Detection for Clinical Decision Support. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1803/11527.

Council of Science Editors:

Smith JC. Adverse Drug Effect Detection for Clinical Decision Support. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://hdl.handle.net/1803/11527


Vanderbilt University

12. Stenner, Shane P. Evaluating the patient-centered automated SMS tagging engine (PASTE): natural language processing applied to patient-generated SMS text messages.

Degree: MS, Biomedical Informatics, 2011, Vanderbilt University

 Pilot studies have demonstrated the feasibility of using mobile technologies as a platform for electronic patient-centered medication management. Such tools may be used to intercept… (more)

Subjects/Keywords: medication message; MyMediHealth; medication managment system; patient-generated; PASTE; engine; tagging; automated; patient; patient-centered; natural language processing; NLP; text message; short message service; SMS; unprompted; communication; webservice

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APA (6th Edition):

Stenner, S. P. (2011). Evaluating the patient-centered automated SMS tagging engine (PASTE): natural language processing applied to patient-generated SMS text messages. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13441

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):

Stenner, Shane P. “Evaluating the patient-centered automated SMS tagging engine (PASTE): natural language processing applied to patient-generated SMS text messages.” 2011. Thesis, Vanderbilt University. Accessed March 07, 2021. http://hdl.handle.net/1803/13441.

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

MLA Handbook (7th Edition):

Stenner, Shane P. “Evaluating the patient-centered automated SMS tagging engine (PASTE): natural language processing applied to patient-generated SMS text messages.” 2011. Web. 07 Mar 2021.

Vancouver:

Stenner SP. Evaluating the patient-centered automated SMS tagging engine (PASTE): natural language processing applied to patient-generated SMS text messages. [Internet] [Thesis]. Vanderbilt University; 2011. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1803/13441.

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

Council of Science Editors:

Stenner SP. Evaluating the patient-centered automated SMS tagging engine (PASTE): natural language processing applied to patient-generated SMS text messages. [Thesis]. Vanderbilt University; 2011. Available from: http://hdl.handle.net/1803/13441

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


Vanderbilt University

13. Teixeira, Pedro Luis, Jr. Computational Phenotyping and Phenome-wide Association Studies: Leveraging Machine Learning and Natural Language Processing to Understand Electronic Health Record Data.

Degree: PhD, Biomedical Informatics, 2015, Vanderbilt University

 The aims of this project are 1) to evaluate various data sources and algorithms for identifying hypertensive individuals within the electronic health record, and 2)… (more)

Subjects/Keywords: biomedical informatics; phenome-wide association studies; hypertension; random forests; machine learning; natural language processing

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APA (6th Edition):

Teixeira, Pedro Luis, J. (2015). Computational Phenotyping and Phenome-wide Association Studies: Leveraging Machine Learning and Natural Language Processing to Understand Electronic Health Record Data. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14022

Chicago Manual of Style (16th Edition):

Teixeira, Pedro Luis, Jr. “Computational Phenotyping and Phenome-wide Association Studies: Leveraging Machine Learning and Natural Language Processing to Understand Electronic Health Record Data.” 2015. Doctoral Dissertation, Vanderbilt University. Accessed March 07, 2021. http://hdl.handle.net/1803/14022.

MLA Handbook (7th Edition):

Teixeira, Pedro Luis, Jr. “Computational Phenotyping and Phenome-wide Association Studies: Leveraging Machine Learning and Natural Language Processing to Understand Electronic Health Record Data.” 2015. Web. 07 Mar 2021.

Vancouver:

Teixeira, Pedro Luis J. Computational Phenotyping and Phenome-wide Association Studies: Leveraging Machine Learning and Natural Language Processing to Understand Electronic Health Record Data. [Internet] [Doctoral dissertation]. Vanderbilt University; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1803/14022.

Council of Science Editors:

Teixeira, Pedro Luis J. Computational Phenotyping and Phenome-wide Association Studies: Leveraging Machine Learning and Natural Language Processing to Understand Electronic Health Record Data. [Doctoral Dissertation]. Vanderbilt University; 2015. Available from: http://hdl.handle.net/1803/14022


Vanderbilt University

14. Levinson, Rebecca Terrall. The Phenotypic Consequences of Distinct Genetic Variation in an Electronic Medical Record.

Degree: PhD, Human Genetics, 2016, Vanderbilt University

 While genetic association studies have been able to elucidate the importance of genetics in human disease outcomes, these studies are limited by the necessity of… (more)

Subjects/Keywords: PheWAS

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APA (6th Edition):

Levinson, R. T. (2016). The Phenotypic Consequences of Distinct Genetic Variation in an Electronic Medical Record. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14698

Chicago Manual of Style (16th Edition):

Levinson, Rebecca Terrall. “The Phenotypic Consequences of Distinct Genetic Variation in an Electronic Medical Record.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed March 07, 2021. http://hdl.handle.net/1803/14698.

MLA Handbook (7th Edition):

Levinson, Rebecca Terrall. “The Phenotypic Consequences of Distinct Genetic Variation in an Electronic Medical Record.” 2016. Web. 07 Mar 2021.

Vancouver:

Levinson RT. The Phenotypic Consequences of Distinct Genetic Variation in an Electronic Medical Record. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1803/14698.

Council of Science Editors:

Levinson RT. The Phenotypic Consequences of Distinct Genetic Variation in an Electronic Medical Record. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://hdl.handle.net/1803/14698


Vanderbilt University

15. Davis, Mary Feller. Determining the Use of Electronic Medical Records in Genetic Studies of Multiple Sclerosis.

Degree: PhD, Human Genetics, 2013, Vanderbilt University

 The clinical course of multiple sclerosis (MS) is highly variable, and research data collection is costly and time-consuming. Much is known about the genetic risk… (more)

Subjects/Keywords: genetic association; natural language processing

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APA (6th Edition):

Davis, M. F. (2013). Determining the Use of Electronic Medical Records in Genetic Studies of Multiple Sclerosis. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14936

Chicago Manual of Style (16th Edition):

Davis, Mary Feller. “Determining the Use of Electronic Medical Records in Genetic Studies of Multiple Sclerosis.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed March 07, 2021. http://hdl.handle.net/1803/14936.

MLA Handbook (7th Edition):

Davis, Mary Feller. “Determining the Use of Electronic Medical Records in Genetic Studies of Multiple Sclerosis.” 2013. Web. 07 Mar 2021.

Vancouver:

Davis MF. Determining the Use of Electronic Medical Records in Genetic Studies of Multiple Sclerosis. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1803/14936.

Council of Science Editors:

Davis MF. Determining the Use of Electronic Medical Records in Genetic Studies of Multiple Sclerosis. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://hdl.handle.net/1803/14936


Vanderbilt University

16. Hinz, Eugenia Renee McPeek. Evaluation of an electronic health record adaptation of a 4-year mortality risk index.

Degree: MS, Biomedical Informatics, 2012, Vanderbilt University

 This thesis describes two studies evaluating the utility, discrimination and validity of an outpatient mortality risk score using an electronic adaptation of the Lee 4-year… (more)

Subjects/Keywords: outpatient population; electronic health record; disease burden

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APA (6th Edition):

Hinz, E. R. M. (2012). Evaluation of an electronic health record adaptation of a 4-year mortality risk index. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13754

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):

Hinz, Eugenia Renee McPeek. “Evaluation of an electronic health record adaptation of a 4-year mortality risk index.” 2012. Thesis, Vanderbilt University. Accessed March 07, 2021. http://hdl.handle.net/1803/13754.

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

MLA Handbook (7th Edition):

Hinz, Eugenia Renee McPeek. “Evaluation of an electronic health record adaptation of a 4-year mortality risk index.” 2012. Web. 07 Mar 2021.

Vancouver:

Hinz ERM. Evaluation of an electronic health record adaptation of a 4-year mortality risk index. [Internet] [Thesis]. Vanderbilt University; 2012. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1803/13754.

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

Council of Science Editors:

Hinz ERM. Evaluation of an electronic health record adaptation of a 4-year mortality risk index. [Thesis]. Vanderbilt University; 2012. Available from: http://hdl.handle.net/1803/13754

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


Vanderbilt University

17. Ong, Ferdo Renardi. The Tarsqi Toolkit’s Recognition of Temporal Expressions within Medical Documents.

Degree: MS, Biomedical Informatics, 2010, Vanderbilt University

 To diagnose and treat patients, clinicians concern themselves with a complex set of events. They need to know when, how long, and in what sequence… (more)

Subjects/Keywords: TimeML

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

APA (6th Edition):

Ong, F. R. (2010). The Tarsqi Toolkit’s Recognition of Temporal Expressions within Medical Documents. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12376

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):

Ong, Ferdo Renardi. “The Tarsqi Toolkit’s Recognition of Temporal Expressions within Medical Documents.” 2010. Thesis, Vanderbilt University. Accessed March 07, 2021. http://hdl.handle.net/1803/12376.

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

MLA Handbook (7th Edition):

Ong, Ferdo Renardi. “The Tarsqi Toolkit’s Recognition of Temporal Expressions within Medical Documents.” 2010. Web. 07 Mar 2021.

Vancouver:

Ong FR. The Tarsqi Toolkit’s Recognition of Temporal Expressions within Medical Documents. [Internet] [Thesis]. Vanderbilt University; 2010. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1803/12376.

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

Council of Science Editors:

Ong FR. The Tarsqi Toolkit’s Recognition of Temporal Expressions within Medical Documents. [Thesis]. Vanderbilt University; 2010. Available from: http://hdl.handle.net/1803/12376

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

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