Incremental Benefits of Machine Learning—When Do We Need a Better Mousetrap?-Reference-Cited by-同舟云学术

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Incremental Benefits of Machine Learning—When Do We Need a Better Mousetrap?

Published:2021-06-01 Issue:6 Volume:6 Page:621
ISSN:2380-6583
Container-title:JAMA Cardiology
language:en
Short-container-title:JAMA Cardiol

Author:

Engelhard Matthew M.¹,Navar Ann Marie²³⁴,Pencina Michael J.¹⁵⁶

Affiliation:

1. Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina

2. Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas

3. Department of Population and Data Sciences, UT Southwestern Medical Center, Dallas, Texas

4. Associate Editor, JAMA Cardiology

5. Duke Clinical Research Institute, Durham, North Carolina

6. Deputy Editor for Statistics, JAMA Cardiology

Publisher

American Medical Association (AMA)

Subject

Cardiology and Cardiovascular Medicine

Link

https://jamanetwork.com/journals/jamacardiology/articlepdf/2777054/jamacardiology_engelhard_2021_ed_210002_1623268713.675.pdf

Reference10 articles.

1. A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.;Christodoulou;J Clin Epidemiol,2019

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

3. Dermatologist-level classification of skin cancer with deep neural networks.;Esteva;Nature,2017

4. International evaluation of an AI system for breast cancer screening.;McKinney;Nature,2020

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