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Making Machine Learning Models Clinically Useful

Published:2019-10-08 Issue:14 Volume:322 Page:1351
ISSN:0098-7484
Container-title:JAMA
language:en
Short-container-title:JAMA

Author:

Shah Nigam H.¹,Milstein Arnold²,Bagley, PhD Steven C.³

Affiliation:

1. Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, California

2. School of Medicine, Stanford University, Stanford, California

3. Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, California

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

https://jamanetwork.com/journals/jama/articlepdf/2748179/jama_shah_2019_vp_190104.pdf

Reference7 articles.

1. Big data and machine learning in health care.;Beam;JAMA,2018

2. Artificial intelligence in health care: will the value match the hype?;Emanuel;JAMA,2019

3. Assessment of machine learning vs standard prediction rules for predicting hospital readmissions.;Morgan;JAMA Netw Open,2019

4. Effectiveness of discharge interventions from hospital to home on hospital readmissions: a systematic review.;Braet;JBI Database System Rev Implement Rep,2016

5. Decision curve analysis: a novel method for evaluating prediction models.;Vickers;Med Decis Making,2006

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