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National Veterans Health Administration inpatient risk stratification models for hospital-acquired acute kidney injury.

, , , , , , , , , , and . J. Am. Medical Informatics Assoc., 22 (5): 1054-1071 (2015)

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Machine Learning for Risk Prediction of Acute Coronary Syndrome., , , , and . AMIA, AMIA, (2014)Using Abstraction to Overcome Problems of Sparsity, Irregularity, and Asynchrony in Structured Medical Data.. Vanderbilt University, Nashville, Tennessee, USA, (2016)base-search.net (ftvanderbilt:oai:ir.vanderbilt.edu:1803/13588).Random Forest Classification of Acute Coronary Syndromes., , , and . AMIA, AMIA, (2013)Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals., , , , , , , , , and 6 other author(s). J. Am. Medical Informatics Assoc., 24 (1): 162-171 (2017)Strategies for Equitable Pharmacogenomic-Guided Warfarin Dosing Among European and African American Individuals in a Clinical Population., , , , , , and . PSB, page 545-556. (2017)National Veterans Health Administration inpatient risk stratification models for hospital-acquired acute kidney injury., , , , , , , , , and 1 other author(s). J. Am. Medical Informatics Assoc., 22 (5): 1054-1071 (2015)The Discriminative Power of Non-Specific Laboratory Results., , , and . AMIA, AMIA, (2016)