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Learning About Machine Learning: The Promise and Pitfalls of Big Data and the Electronic Health Record

Rahul C Deo1, Brahmajee K Nallamothu2

  • 1From the Division of Cardiology, Department of Medicine; Cardiovascular Research Institute; Institute for Human Genetics; and Institute for Computational Health Sciences, University of California San Francisco, and California Institute for Quantitative Biosciences (R.C.D.); and VA Health Services Research and Development Center for Clinical Management Research, VA Ann Arbor Healthcare System, MI; Michigan Center for Health Analytics and Medical Prediction (M-CHAMP), Department of Internal Medicine, University of Michigan Medical School, Ann Arbor (B.K.N.). rahul.deo@ucsf.edu.

Circulation. Cardiovascular Quality and Outcomes
|March 7, 2017
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Editorialsheart failurelinear modelsmachine learningmedicinerisk factors

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