Assessment of Adherence to Reporting Guidelines by Commonly Used Clinical Prediction Models From a Single Vendor-Reference-Cited by-同舟云学术

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Assessment of Adherence to Reporting Guidelines by Commonly Used Clinical Prediction Models From a Single Vendor

Published:2022-08-19 Issue:8 Volume:5 Page:e2227779
ISSN:2574-3805
Container-title:JAMA Network Open
language:en
Short-container-title:JAMA Netw Open

Author:

Lu Jonathan H.¹,Callahan Alison¹,Patel Birju S.¹,Morse Keith E.²³,Dash Dev¹,Pfeffer Michael A.¹⁴,Shah Nigam H.¹⁴⁵

Affiliation:

1. Center for Biomedical Informatics Research, Stanford University School of Medicine, Stanford, California

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

3. Department of Clinical Informatics, Lucile Packard Children’s Hospital, Palo Alto, California

4. Technology and Digital Solutions, Stanford Medicine, Stanford, California

5. Clinical Excellence Research Center, Stanford Medicine, Stanford, California

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2795407/lu_2022_oi_220792_1660229926.071.pdf

Reference88 articles.

1. Scalable and accurate deep learning with electronic health records.;Rajkomar;NPJ Digit Med,2018

2. Dissecting racial bias in an algorithm used to manage the health of populations.;Obermeyer;Science,2019

3. Better medicine through machine learning: what’s real, and what’s artificial?;Saria;PLoS Med,2018

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

5. High-performance medicine: the convergence of human and artificial intelligence.;Topol;Nat Med,2019

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