Machine learning and myocardial infarction diagnosis: sometimes you can't make it on your own

Rocco Vergallo^{1

2}, Carlo Patrono³

Affiliations

¹ Interventional Cardiology Unit, Cardiothoracic and Vascular Department (DICATOV), IRCCS Ospedale Policlinico San Martino, Viale Benedetto XV, Genova 6-16132, Italy.
² Department of Internal Medicine and Medical Specialties (DIMI), Università di Genova, Viale Benedetto XV, Genova 6-16132, Italy.
³ Department of Pharmacology, Catholic University School of Medicine, Largo F. Vito, 8, 00168 Rome, Italy.

Comment

Rocco Vergallo et al. Eur Heart J. 2023.

. 2023 Sep 14;44(35):3309-3310.

doi: 10.1093/eurheartj/ehad467.

Rocco Vergallo^{1

2}, Carlo Patrono³

¹ Interventional Cardiology Unit, Cardiothoracic and Vascular Department (DICATOV), IRCCS Ospedale Policlinico San Martino, Viale Benedetto XV, Genova 6-16132, Italy.
² Department of Internal Medicine and Medical Specialties (DIMI), Università di Genova, Viale Benedetto XV, Genova 6-16132, Italy.
³ Department of Pharmacology, Catholic University School of Medicine, Largo F. Vito, 8, 00168 Rome, Italy.

No abstract available

Comment on

Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations.
Doudesis D, Lee KK, Boeddinghaus J, Bularga A, Ferry AV, Tuck C, Lowry MTH, Lopez-Ayala P, Nestelberger T, Koechlin L, Bernabeu MO, Neubeck L, Anand A, Schulz K, Apple FS, Parsonage W, Greenslade JH, Cullen L, Pickering JW, Than MP, Gray A, Mueller C, Mills NL; CoDE-ACS Investigators. Doudesis D, et al. Nat Med. 2023 May;29(5):1201-1210. doi: 10.1038/s41591-023-02325-4. Epub 2023 May 11. Nat Med. 2023. PMID: 37169863 Free PMC article.