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Books and Theses
- 2016
[b1]Jacob P. VanHouten:
Using Abstraction to Overcome Problems of Sparsity, Irregularity, and Asynchrony in Structured Medical Data. Vanderbilt University, Nashville, Tennessee, USA, 2016
Journal Articles
- 2017
- [j2]Pedro L. Teixeira
, Wei-Qi Wei, Robert M. Cronin, Huan Mo, Jacob P. VanHouten, Robert J. Carroll, Eric LaRose, Lisa Bastarache, S. Trent Rosenbloom, Todd L. Edwards, Dan M. Roden, Thomas A. Lasko, Richard A. Dart, Anne M. Nikolai, Peggy L. Peissig, Joshua C. Denny:
Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals. J. Am. Medical Informatics Assoc. 24(1): 162-171 (2017) - 2015
- [j1]Robert M. Cronin, Jacob P. VanHouten, Edward D. Siew, Svetlana K. Eden, Stephan D. Fihn, Christopher D. Nielson, Josh F. Peterson, Clifton R. Baker, T. Alp Ikizler, Theodore Speroff, Michael E. Matheny:
National Veterans Health Administration inpatient risk stratification models for hospital-acquired acute kidney injury. J. Am. Medical Informatics Assoc. 22(5): 1054-1071 (2015)
Conference and Workshop Papers
- 2017
- [c4]Laura K. Wiley, Jacob P. VanHouten, David Samuels, Melinda Aldrich, Dan M. Roden, Josh F. Peterson, Joshua C. Denny:
Strategies for Equitable Pharmacogenomic-Guided Warfarin Dosing Among European and African American Individuals in a Clinical Population. PSB 2017: 545-556 - 2016
- [c3]Jacob P. VanHouten, Christopher Fonnesbeck, Michael E. Matheny, Thomas A. Lasko:
The Discriminative Power of Non-Specific Laboratory Results. AMIA 2016 - 2014
- [c2]Jacob P. VanHouten, John Starmer, Nancy M. Lorenzi, David J. Maron, Thomas A. Lasko:
Machine Learning for Risk Prediction of Acute Coronary Syndrome. AMIA 2014 - 2013
- [c1]Jacob P. VanHouten, John Starmer, Nancy M. Lorenzi, Thomas A. Lasko:
Random Forest Classification of Acute Coronary Syndromes. AMIA 2013
Coauthor Index
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