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

Matthew M Engelhard¹, Ann Marie Navar^{2

3

4}, Michael J Pencina^{1

5

6}

Affiliations

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.

Editorial

Matthew M Engelhard et al. JAMA Cardiol. 2021.

. 2021 Jun 1;6(6):621-623.

doi: 10.1001/jamacardio.2021.0139.

Matthew M Engelhard¹, Ann Marie Navar^{2

3

4}, Michael J Pencina^{1

5

6}

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.

No abstract available

Comment on

Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction.
Khera R, Haimovich J, Hurley NC, McNamara R, Spertus JA, Desai N, Rumsfeld JS, Masoudi FA, Huang C, Normand SL, Mortazavi BJ, Krumholz HM. Khera R, et al. JAMA Cardiol. 2021 Jun 1;6(6):633-641. doi: 10.1001/jamacardio.2021.0122. JAMA Cardiol. 2021. PMID: 33688915 Free PMC article.