Machine Learning, Predictive Analytics, and Clinical Practice-Reference-Cited by-同舟云学术

Machine Learning, Predictive Analytics, and Clinical Practice

Published:2019-12-17 Issue:23 Volume:322 Page:2283
ISSN:0098-7484
Container-title:JAMA
language:en
Short-container-title:JAMA

Author:

Peterson Eric D.¹²

Affiliation:

1. Duke University Medical Center, Durham, North Carolina

2. Associate Editor, JAMA

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

https://jamanetwork.com/journals/jama/articlepdf/2756195/jama_peterson_2019_vp_190153.pdf

Reference10 articles.

1. Can machine-learning improve cardiovascular risk prediction using routine clinical data?;Weng;PLoS One,2017

2. Moving beyond regression techniques in cardiovascular risk prediction: applying machine learning to address analytic challenges.;Goldstein;Eur Heart J,2017

3. Predicting outcome in coronary disease: statistical models versus expert clinicians.;Lee;Am J Med,1986

4. Value of the history and physical in identifying patients at increased risk for coronary artery disease.;Pryor;Ann Intern Med,1993

5. The doctor and the computer.;Califf;West J Med,1981

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