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Plos One|December 29, 2012
Population physiology: leveraging electronic health record data to understand human endocrine dynamicsD J Albers, George Hripcsak, Michael SchmidtAcademic Medicine : Journal of the Association of American Medical Colleges|March 31, 2016
How Do Residents Spend Their Shift Time? A Time and Motion Study With a Particular Focus on the Use of ComputersLena Mamykina, David K Vawdrey, George HripcsakProceedings. AMIA Symposium|December 5, 2002
The effect of sample size and disease prevalence on supervised machine learning of narrative dataLawrence K McKnight, Adam Wilcox, George HripcsakAMIA ... Annual Symposium Proceedings. AMIA Symposium|January 24, 2007
Disseminating natural language processed clinical narrativesElizabeth S Chen, George Hripcsak, Carol FriedmanJournal of the American Medical Informatics Association : JAMIA|November 26, 2011
Exploiting time in electronic health record correlationsGeorge Hripcsak, David J Albers, Adler PerotteScientific Reports|March 7, 2015
3D pharmacophoric similarity improves multi adverse drug event identification in pharmacovigilanceSantiago Vilar, Nicholas P Tatonetti, George HripcsakThe Annals of Applied Statistics|March 4, 2014
EVALUATING COSTS WITH UNMEASURED CONFOUNDING: A SENSITIVITY ANALYSIS FOR THE TREATMENT EFFECTElizabeth A Handorf, Justin E Bekelman, Daniel F Heitjan, et al.Medical Care|January 22, 2004
Promoting patient safety and enabling evidence-based practice through informaticsSuzanne Bakken, James J Cimino, George HripcsakJournal of the American Medical Informatics Association : JAMIA|March 1, 2015
Parameterizing time in electronic health record studiesGeorge Hripcsak, David J Albers, Adler PerotteStatistical Analysis and Data Mining|August 11, 2025
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational StudiesJami J Mulgrave, David Madigan, George HripcsakPageof 48