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Showing results (341-350 of 480) with videos related to

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Science Translational Medicine|May 12, 2017
Phenome-wide scanning identifies multiple diseases and disease severity phenotypes associated with HLA variantsJason H Karnes, Lisa Bastarache, Christian M Shaffer, et al.
JMIR Medical Informatics|September 15, 2017
Prototype Development: Context-Driven Dynamic XML Ophthalmologic Data Capture ApplicationPeggy Peissig, Kelsey M Schwei, Christopher Kadolph, et al.
Plos One|July 2, 2020
Diversity and inclusion for the All of Us research program: A scoping reviewBrandy M Mapes, Christopher S Foster, Sheila V Kusnoor, et al.
Clinical Pharmacology and Therapeutics|December 23, 2011
Predicting clopidogrel response using DNA samples linked to an electronic health recordJ T Delaney, A H Ramirez, E Bowton, et al.
Science Translational Medicine|May 3, 2014
Biobanks and electronic medical records: enabling cost-effective researchErica Bowton, Julie R Field, Sunny Wang, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|July 2, 2019
Comorbidity Characterization Among eMERGE Institutions: A Pilot Evaluation with the Johns Hopkins Adjusted Clinical Groups® SystemCasey Overby Taylor, Klaus W Lemke, Thomas M Richards, et al.
Clinical Pharmacology and Therapeutics|October 8, 2013
Characterization of statin dose response in electronic medical recordsW-Q Wei, Q Feng, L Jiang, et al.
Medrxiv : the Preprint Server for Health Sciences|July 1, 2024
Frequency of pharmacogenomic variation and medication exposures among All of Us ParticipantsAndrew Haddad, Aparna Radhakrishnan, Sean McGee, et al.
Journal of the American Medical Informatics Association : JAMIA|March 31, 2016
PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportabilityJacqueline C Kirby, Peter Speltz, Luke V Rasmussen, et al.
Journal of the American Medical Informatics Association : JAMIA|August 8, 2016
Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individualsPedro L Teixeira, Wei-Qi Wei, Robert M Cronin, et al.
Pageof 48

Showing results (341-350 of 480) with videos related to

Sort By:
Pageof 48
Science Translational Medicine|May 12, 2017
Phenome-wide scanning identifies multiple diseases and disease severity phenotypes associated with HLA variantsJason H Karnes, Lisa Bastarache, Christian M Shaffer, et al.
JMIR Medical Informatics|September 15, 2017
Prototype Development: Context-Driven Dynamic XML Ophthalmologic Data Capture ApplicationPeggy Peissig, Kelsey M Schwei, Christopher Kadolph, et al.
Plos One|July 2, 2020
Diversity and inclusion for the All of Us research program: A scoping reviewBrandy M Mapes, Christopher S Foster, Sheila V Kusnoor, et al.
Clinical Pharmacology and Therapeutics|December 23, 2011
Predicting clopidogrel response using DNA samples linked to an electronic health recordJ T Delaney, A H Ramirez, E Bowton, et al.
Science Translational Medicine|May 3, 2014
Biobanks and electronic medical records: enabling cost-effective researchErica Bowton, Julie R Field, Sunny Wang, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|July 2, 2019
Comorbidity Characterization Among eMERGE Institutions: A Pilot Evaluation with the Johns Hopkins Adjusted Clinical Groups® SystemCasey Overby Taylor, Klaus W Lemke, Thomas M Richards, et al.
Clinical Pharmacology and Therapeutics|October 8, 2013
Characterization of statin dose response in electronic medical recordsW-Q Wei, Q Feng, L Jiang, et al.
Medrxiv : the Preprint Server for Health Sciences|July 1, 2024
Frequency of pharmacogenomic variation and medication exposures among All of Us ParticipantsAndrew Haddad, Aparna Radhakrishnan, Sean McGee, et al.
Journal of the American Medical Informatics Association : JAMIA|March 31, 2016
PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportabilityJacqueline C Kirby, Peter Speltz, Luke V Rasmussen, et al.
Journal of the American Medical Informatics Association : JAMIA|August 8, 2016
Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individualsPedro L Teixeira, Wei-Qi Wei, Robert M Cronin, et al.
Pageof 48