Machine learning predicts risk in ACS

Affiliations

Comment

Irene Fernández-Ruiz. Nat Rev Cardiol. 2021 Apr.

. 2021 Apr;18(4):230.

doi: 10.1038/s41569-021-00521-8.

No abstract available

Comment on

Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets.
D'Ascenzo F, De Filippo O, Gallone G, Mittone G, Deriu MA, Iannaccone M, Ariza-Solé A, Liebetrau C, Manzano-Fernández S, Quadri G, Kinnaird T, Campo G, Simao Henriques JP, Hughes JM, Dominguez-Rodriguez A, Aldinucci M, Morbiducci U, Patti G, Raposeiras-Roubin S, Abu-Assi E, De Ferrari GM; PRAISE study group. D'Ascenzo F, et al. Lancet. 2021 Jan 16;397(10270):199-207. doi: 10.1016/S0140-6736(20)32519-8. Lancet. 2021. PMID: 33453782

1. D’Ascenzo, F. et al. Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets. Lancet 397, 199–207 (2021) - DOI