title: Can Big Data Fulfill Its Promise?
authors.affiliation: From the Department of Veterans Affairs' Center for Health Equity Research and Promotion, Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA (P.W.G.); Division of General Internal Medicine, Department of Medicine, Perelman School of Medicine, Leonard Davis Institute of Health Economics, and Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia (P.W.G.); University of Colorado School of Medicine, Aurora, CO (J.S.R.); Veterans Affairs Eastern Colorado Health System, Denver (J.S.R.); and American College of Cardiology, Washington, DC (J.S.R.). petergro@upenn.edu.
authors.forename: Peter W
authors.initials: PW
authors.lastname: Groeneveld
authors.affiliation: From the Department of Veterans Affairs' Center for Health Equity Research and Promotion, Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA (P.W.G.); Division of General Internal Medicine, Department of Medicine, Perelman School of Medicine, Leonard Davis Institute of Health Economics, and Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia (P.W.G.); University of Colorado School of Medicine, Aurora, CO (J.S.R.); Veterans Affairs Eastern Colorado Health System, Denver (J.S.R.); and American College of Cardiology, Washington, DC (J.S.R.).
authors.forename: John S
authors.initials: JS
authors.lastname: Rumsfeld
mesh_terms: D057225:Data Mining; D006801:Humans; D013223:Statistics as Topic
keywords: algorithms; analysis; database; machine learning; patient-specific modeling