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AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
November 13, 2008
Capturing clinical questions during medical residents' workflow
Herbert Chase, David Kaufman, Eneida A Mendonça
Plos One
|
October 8, 2016
Using Rich Data on Comorbidities in Case-Control Study Design with Electronic Health Record Data Improves Control of Confounding in the Detection of Adverse Drug Reactions
Daniel Backenroth, Herbert Chase, Carol Friedman, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
February 25, 2011
Cognitive analysis of the summarization of longitudinal patient records
Daniel Reichert, David Kaufman, Benjamin Bloxham, et al.
Journal of Biomedical Informatics
|
April 6, 2010
Selecting information in electronic health records for knowledge acquisition
Xiaoyan Wang, Herbert Chase, Marianthi Markatou, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
December 24, 2011
Determining the reasons for medication prescriptions in the EHR using knowledge and natural language processing
Ying Li, Hojjat Salmasian, Rave Harpaz, et al.
Statistical Analysis and Data Mining
|
May 13, 2021
Survival Analysis with Electronic Health Record Data: Experiments with Chronic Kidney Disease
Yolanda Hagar, David Albers, Rimma Pivovarov, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
December 24, 2011
A drug-adverse event extraction algorithm to support pharmacovigilance knowledge mining from PubMed citations
Wei Wang, Krystl Haerian, Hojjat Salmasian, et al.
Journal of the American Medical Informatics Association : JAMIA
|
August 3, 2013
A method for controlling complex confounding effects in the detection of adverse drug reactions using electronic health records
Ying Li, Hojjat Salmasian, Santiago Vilar, et al.
Clinical Spine Surgery
|
July 24, 2023
Using Machine Learning (ML) Models to Predict Risk of Venous Thromboembolism (VTE) Following Spine Surgery
Prerana Katiyar, Herbert Chase, Lawrence G Lenke, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
December 24, 2011
Developing an online and in-person HIT workforce training program using a team-based learning approach
Frances Morrison, John Zimmerman, Michelle Hall, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 15) with videos related to
Sort By:
Page
of 2
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
November 13, 2008
Capturing clinical questions during medical residents' workflow
Herbert Chase, David Kaufman, Eneida A Mendonça
Plos One
|
October 8, 2016
Using Rich Data on Comorbidities in Case-Control Study Design with Electronic Health Record Data Improves Control of Confounding in the Detection of Adverse Drug Reactions
Daniel Backenroth, Herbert Chase, Carol Friedman, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
February 25, 2011
Cognitive analysis of the summarization of longitudinal patient records
Daniel Reichert, David Kaufman, Benjamin Bloxham, et al.
Journal of Biomedical Informatics
|
April 6, 2010
Selecting information in electronic health records for knowledge acquisition
Xiaoyan Wang, Herbert Chase, Marianthi Markatou, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
December 24, 2011
Determining the reasons for medication prescriptions in the EHR using knowledge and natural language processing
Ying Li, Hojjat Salmasian, Rave Harpaz, et al.
Statistical Analysis and Data Mining
|
May 13, 2021
Survival Analysis with Electronic Health Record Data: Experiments with Chronic Kidney Disease
Yolanda Hagar, David Albers, Rimma Pivovarov, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
December 24, 2011
A drug-adverse event extraction algorithm to support pharmacovigilance knowledge mining from PubMed citations
Wei Wang, Krystl Haerian, Hojjat Salmasian, et al.
Journal of the American Medical Informatics Association : JAMIA
|
August 3, 2013
A method for controlling complex confounding effects in the detection of adverse drug reactions using electronic health records
Ying Li, Hojjat Salmasian, Santiago Vilar, et al.
Clinical Spine Surgery
|
July 24, 2023
Using Machine Learning (ML) Models to Predict Risk of Venous Thromboembolism (VTE) Following Spine Surgery
Prerana Katiyar, Herbert Chase, Lawrence G Lenke, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
December 24, 2011
Developing an online and in-person HIT workforce training program using a team-based learning approach
Frances Morrison, John Zimmerman, Michelle Hall, et al.
Page
of 2