Rethinking Algorithm Performance Metrics for Artificial Intelligence in Diagnostic Medicine-Reference-Cited by-同舟云学术

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Rethinking Algorithm Performance Metrics for Artificial Intelligence in Diagnostic Medicine

Published:2022-07-26 Issue:4 Volume:328 Page:329
ISSN:0098-7484
Container-title:JAMA
language:en
Short-container-title:JAMA

Author:

Reyna Matthew A.¹,Nsoesie Elaine O.²,Clifford Gari D.¹³

Affiliation:

1. Department of Biomedical Informatics, Emory University, Atlanta, Georgia

2. Department of Global Health, School of Public Health, Boston University, Boston, Massachusetts

3. Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

https://jamanetwork.com/journals/jama/articlepdf/2794258/jama_reyna_2022_vp_220064_1658161678.14691.pdf

Reference6 articles.

1. Early prediction of sepsis from clinical data: the PhysioNet/Computing in Cardiology Challenge 2019.;Reyna;Crit Care Med,2020

2. Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020.;Perez Alday;Physiol Meas,2021

3. Issues in the automated classification of multilead ECGs using heterogeneous labels and populations.;Reyna;Physiol Meas

4. Diagnostic excellence.;Yang;JAMA,2021

5. On the inequity of predicting A while hoping for B.;Mullainathan;AEA Pap Proc,2021

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