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Bruce E Bray

Showing results (41-50 of 57) with videos related to

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Learning Health Systems|January 17, 2022
Summary of fourth annual MCBK public meeting: Mobilizing computable biomedical knowledge-metadata and trustMichelle Williams, Bruce E Bray, Robert A Greenes, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 9, 2015
Clinical Decision Support-based Quality Measurement (CDS-QM) Framework: Prototype Implementation, Evaluation, and Future DirectionsPolina V Kukhareva, Kensaku Kawamoto, David E Shields, et al.
Journal of the American Medical Informatics Association : JAMIA|March 23, 2012
Automated extraction of ejection fraction for quality measurement using regular expressions in Unstructured Information Management Architecture (UIMA) for heart failureJennifer H Garvin, Scott L DuVall, Brett R South, et al.
Journal of Biomedical Informatics|June 26, 2021
Adaptation of an NLP system to a new healthcare environment to identify social determinants of healthRuth M Reeves, Lee Christensen, Jeremiah R Brown, et al.
JMIR Medical Informatics|January 17, 2018
Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans AffairsJennifer Hornung Garvin, Youngjun Kim, Glenn Temple Gobbel, et al.
JAMA Network Open|January 29, 2021
Development of Electronic Health Record-Based Prediction Models for 30-Day Readmission Risk Among Patients Hospitalized for Acute Myocardial InfarctionMichael E Matheny, Iben Ricket, Christine A Goodrich, et al.
Learning Health Systems|January 17, 2022
Categorizing metadata to help mobilize computable biomedical knowledgeBrian S Alper, Allen Flynn, Bruce E Bray, et al.
PLOS Digital Health|April 4, 2022
An explainable artificial intelligence approach for predicting cardiovascular outcomes using electronic health recordsSergiusz Wesołowski, Gordon Lemmon, Edgar J Hernandez, et al.
Circulation. Cardiovascular Genetics|March 16, 2016
Merging Electronic Health Record Data and Genomics for Cardiovascular Research: A Science Advisory From the American Heart AssociationJennifer L Hall, John J Ryan, Bruce E Bray, et al.
Medical Research Archives|February 5, 2025
Augmenting the Hospital Score with social risk factors to improve prediction for 30-day readmission following acute myocardial infarctionIben Ricket, Michael E Matheny, Ruth M Reeves, et al.
Pageof 6

Showing results (41-50 of 57) with videos related to

Sort By:
Pageof 6
Learning Health Systems|January 17, 2022
Summary of fourth annual MCBK public meeting: Mobilizing computable biomedical knowledge-metadata and trustMichelle Williams, Bruce E Bray, Robert A Greenes, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 9, 2015
Clinical Decision Support-based Quality Measurement (CDS-QM) Framework: Prototype Implementation, Evaluation, and Future DirectionsPolina V Kukhareva, Kensaku Kawamoto, David E Shields, et al.
Journal of the American Medical Informatics Association : JAMIA|March 23, 2012
Automated extraction of ejection fraction for quality measurement using regular expressions in Unstructured Information Management Architecture (UIMA) for heart failureJennifer H Garvin, Scott L DuVall, Brett R South, et al.
Journal of Biomedical Informatics|June 26, 2021
Adaptation of an NLP system to a new healthcare environment to identify social determinants of healthRuth M Reeves, Lee Christensen, Jeremiah R Brown, et al.
JMIR Medical Informatics|January 17, 2018
Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans AffairsJennifer Hornung Garvin, Youngjun Kim, Glenn Temple Gobbel, et al.
JAMA Network Open|January 29, 2021
Development of Electronic Health Record-Based Prediction Models for 30-Day Readmission Risk Among Patients Hospitalized for Acute Myocardial InfarctionMichael E Matheny, Iben Ricket, Christine A Goodrich, et al.
Learning Health Systems|January 17, 2022
Categorizing metadata to help mobilize computable biomedical knowledgeBrian S Alper, Allen Flynn, Bruce E Bray, et al.
PLOS Digital Health|April 4, 2022
An explainable artificial intelligence approach for predicting cardiovascular outcomes using electronic health recordsSergiusz Wesołowski, Gordon Lemmon, Edgar J Hernandez, et al.
Circulation. Cardiovascular Genetics|March 16, 2016
Merging Electronic Health Record Data and Genomics for Cardiovascular Research: A Science Advisory From the American Heart AssociationJennifer L Hall, John J Ryan, Bruce E Bray, et al.
Medical Research Archives|February 5, 2025
Augmenting the Hospital Score with social risk factors to improve prediction for 30-day readmission following acute myocardial infarctionIben Ricket, Michael E Matheny, Ruth M Reeves, et al.
Pageof 6