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You searched for +publisher:"Vanderbilt University" +contributor:("Josh Denny"). Showing records 1 – 5 of 5 total matches.

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Vanderbilt University

1. Carroll, Robert James. Efficient Development of Electronic Health Record Based Algorithms to Identify Rheumatoid Arthritis.

Degree: MS, Biomedical Informatics, 2011, Vanderbilt University

 Electronic Health Records (EHRs) are valuable tools in clinical and genomic research, providing the ability to generate large patient cohorts for study. Traditionally, EHR-based research… (more)

Subjects/Keywords: genetic associations; automated patient cohorts; phenotype algorithm

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

APA (6th Edition):

Carroll, R. J. (2011). Efficient Development of Electronic Health Record Based Algorithms to Identify Rheumatoid Arthritis. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14341

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):

Carroll, Robert James. “Efficient Development of Electronic Health Record Based Algorithms to Identify Rheumatoid Arthritis.” 2011. Thesis, Vanderbilt University. Accessed April 12, 2021. http://hdl.handle.net/1803/14341.

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

MLA Handbook (7th Edition):

Carroll, Robert James. “Efficient Development of Electronic Health Record Based Algorithms to Identify Rheumatoid Arthritis.” 2011. Web. 12 Apr 2021.

Vancouver:

Carroll RJ. Efficient Development of Electronic Health Record Based Algorithms to Identify Rheumatoid Arthritis. [Internet] [Thesis]. Vanderbilt University; 2011. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1803/14341.

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

Council of Science Editors:

Carroll RJ. Efficient Development of Electronic Health Record Based Algorithms to Identify Rheumatoid Arthritis. [Thesis]. Vanderbilt University; 2011. Available from: http://hdl.handle.net/1803/14341

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


Vanderbilt University

2. Bhatia, Haresh Lokumal. Chemotherapy Plan Abstraction Method.

Degree: MS, Biomedical Informatics, 2012, Vanderbilt University

 Purpose: Chemotherapy plan abstraction is an important clinical and research task in medicine. Providers review the treatment plan history and the response to the treatment… (more)

Subjects/Keywords: Event Truthfulness and Accuracy; Medication Events; Temporal Abstraction; Temporal Reasoning; Clinical Plan; Plan Recognition; Data-driven Method

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

APA (6th Edition):

Bhatia, H. L. (2012). Chemotherapy Plan Abstraction Method. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12536

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):

Bhatia, Haresh Lokumal. “Chemotherapy Plan Abstraction Method.” 2012. Thesis, Vanderbilt University. Accessed April 12, 2021. http://hdl.handle.net/1803/12536.

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

MLA Handbook (7th Edition):

Bhatia, Haresh Lokumal. “Chemotherapy Plan Abstraction Method.” 2012. Web. 12 Apr 2021.

Vancouver:

Bhatia HL. Chemotherapy Plan Abstraction Method. [Internet] [Thesis]. Vanderbilt University; 2012. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1803/12536.

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

Council of Science Editors:

Bhatia HL. Chemotherapy Plan Abstraction Method. [Thesis]. Vanderbilt University; 2012. Available from: http://hdl.handle.net/1803/12536

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


Vanderbilt University

3. Simonti, Corinne Nicole. Leveraging Biobanks and PheWAS to Uncover the Health Consequences of Recent Human Evolution.

Degree: PhD, Human Genetics, 2017, Vanderbilt University

 The genomics era has seen a staggering increase in the number of whole genome sequences. This has bolstered studies of human populations, and revealed regions… (more)

Subjects/Keywords: PheWAS; Biobank; Neanderthal; Evolution

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

APA (6th Edition):

Simonti, C. N. (2017). Leveraging Biobanks and PheWAS to Uncover the Health Consequences of Recent Human Evolution. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11256

Chicago Manual of Style (16th Edition):

Simonti, Corinne Nicole. “Leveraging Biobanks and PheWAS to Uncover the Health Consequences of Recent Human Evolution.” 2017. Doctoral Dissertation, Vanderbilt University. Accessed April 12, 2021. http://hdl.handle.net/1803/11256.

MLA Handbook (7th Edition):

Simonti, Corinne Nicole. “Leveraging Biobanks and PheWAS to Uncover the Health Consequences of Recent Human Evolution.” 2017. Web. 12 Apr 2021.

Vancouver:

Simonti CN. Leveraging Biobanks and PheWAS to Uncover the Health Consequences of Recent Human Evolution. [Internet] [Doctoral dissertation]. Vanderbilt University; 2017. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1803/11256.

Council of Science Editors:

Simonti CN. Leveraging Biobanks and PheWAS to Uncover the Health Consequences of Recent Human Evolution. [Doctoral Dissertation]. Vanderbilt University; 2017. Available from: http://hdl.handle.net/1803/11256


Vanderbilt University

4. Osterman, Travis John. Extracting Detailed Tobacco Exposure From The Electronic Health Record.

Degree: MS, Biomedical Informatics, 2017, Vanderbilt University

 Lung cancer is the leading cause of cancer-related death in the United States and worldwide. Natural language processing (NLP) tools exist to determine smoking status… (more)

Subjects/Keywords: data extraction; lung cancer screening; phewas; gxe; smoking; natural language processing

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

APA (6th Edition):

Osterman, T. J. (2017). Extracting Detailed Tobacco Exposure From The Electronic Health Record. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13004

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):

Osterman, Travis John. “Extracting Detailed Tobacco Exposure From The Electronic Health Record.” 2017. Thesis, Vanderbilt University. Accessed April 12, 2021. http://hdl.handle.net/1803/13004.

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

MLA Handbook (7th Edition):

Osterman, Travis John. “Extracting Detailed Tobacco Exposure From The Electronic Health Record.” 2017. Web. 12 Apr 2021.

Vancouver:

Osterman TJ. Extracting Detailed Tobacco Exposure From The Electronic Health Record. [Internet] [Thesis]. Vanderbilt University; 2017. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1803/13004.

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

Council of Science Editors:

Osterman TJ. Extracting Detailed Tobacco Exposure From The Electronic Health Record. [Thesis]. Vanderbilt University; 2017. Available from: http://hdl.handle.net/1803/13004

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


Vanderbilt University

5. Carroll, Robert James. Defining Phenotypes, Predicting Drug Response, and Discovering Genetic Associations in the Electronic Health Record with Applications in Rheumatoid Arthritis.

Degree: PhD, Biomedical Informatics, 2014, Vanderbilt University

 Electronic Health Records (EHRs) allow for the digital capture of patient information and have proven to be a valuable tool for patient treatment. In this… (more)

Subjects/Keywords: Secondary use; data analysis; informatics

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

APA (6th Edition):

Carroll, R. J. (2014). Defining Phenotypes, Predicting Drug Response, and Discovering Genetic Associations in the Electronic Health Record with Applications in Rheumatoid Arthritis. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14730

Chicago Manual of Style (16th Edition):

Carroll, Robert James. “Defining Phenotypes, Predicting Drug Response, and Discovering Genetic Associations in the Electronic Health Record with Applications in Rheumatoid Arthritis.” 2014. Doctoral Dissertation, Vanderbilt University. Accessed April 12, 2021. http://hdl.handle.net/1803/14730.

MLA Handbook (7th Edition):

Carroll, Robert James. “Defining Phenotypes, Predicting Drug Response, and Discovering Genetic Associations in the Electronic Health Record with Applications in Rheumatoid Arthritis.” 2014. Web. 12 Apr 2021.

Vancouver:

Carroll RJ. Defining Phenotypes, Predicting Drug Response, and Discovering Genetic Associations in the Electronic Health Record with Applications in Rheumatoid Arthritis. [Internet] [Doctoral dissertation]. Vanderbilt University; 2014. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1803/14730.

Council of Science Editors:

Carroll RJ. Defining Phenotypes, Predicting Drug Response, and Discovering Genetic Associations in the Electronic Health Record with Applications in Rheumatoid Arthritis. [Doctoral Dissertation]. Vanderbilt University; 2014. Available from: http://hdl.handle.net/1803/14730

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