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AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
An evaluation of the NQF Quality Data Model for representing Electronic Health Record driven phenotyping algorithmsWilliam K Thompson, Luke V Rasmussen, Jennifer A Pacheco, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|June 2, 2018
Secondary Use of Patients' Electronic Records (SUPER): An Approach for Meeting Specific Data Needs of Clinical and Translational ResearchersEvan T Sholle, Joseph Kabariti, Stephen B Johnson, et al.
JAMIA Open|July 10, 2023
Women's perspectives on the use of artificial intelligence (AI)-based technologies in mental healthcareMeghan Reading Turchioe, Sarah Harkins, Pooja Desai, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|May 9, 2015
Detecting Associations between Major Depressive Disorder Treatment and Essential Hypertension using Electronic Health RecordsJyotishman Pathak, Gyorgy Simon, Dingcheng Li, et al.
Journal of the American Medical Informatics Association : JAMIA|December 27, 2012
A semantic-web oriented representation of the clinical element model for secondary use of electronic health records dataCui Tao, Guoqian Jiang, Thomas A Oniki, et al.
Anesthesiology|January 23, 2015
Characterizing the epidemiology of postoperative transfusion-related acute lung injuryLeanne Clifford, Qing Jia, Arun Subramanian, et al.
Journal of Medical Internet Research|July 8, 2014
Comparative analysis of online health queries originating from personal computers and smart devices on a consumer health information portalAshutosh Jadhav, Donna Andrews, Alexander Fiksdal, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|December 24, 2011
The SHARPn project on secondary use of Electronic Medical Record data: progress, plans, and possibilitiesChristopher G Chute, Jyotishman Pathak, Guergana K Savova, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|August 30, 2021
Integration of NLP2FHIR Representation with Deep Learning Models for EHR Phenotyping: A Pilot Study on Obesity DatasetsSijia Liu, Yuan Luo, Daniel Stone, et al.
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