Learning About Machine Learning: The Promise and Pitfalls of Big Data and the Electronic Health Record-Reference-Cited by-同舟云学术

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

Published:2016-11 Issue:6 Volume:9 Page:618-620
ISSN:1941-7713
Container-title:Circulation: Cardiovascular Quality and Outcomes
language:en
Short-container-title:Circ: Cardiovascular Quality and Outcomes

Author:

Deo Rahul C.¹,Nallamothu Brahmajee K.¹

Affiliation:

1. From 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,...

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

Reference5 articles.

1. Population Risk Prediction Models for Incident Heart Failure

2. Machine Learning in Medicine

3. Early Detection of Heart Failure Using Electronic Health Records

4. Multimarker Approach for the Prediction of Heart Failure Incidence in the Community

5. Predictors of Incident Heart Failure in a Large Insured Population

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