Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction

IMPORTANCE: Accurate prediction of adverse outcomes after acute myocardial infarction (AMI) can guide the triage of care services and shared decision-making, and novel methods hold promise for using existing data to generate additional insights. OBJECTIVE: To evaluate whether contemporary machine le...

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Опубликовано в: :JAMA Cardiol
Главные авторы: Khera, Rohan, Haimovich, Julian, Hurley, Nathan C., McNamara, Robert, Spertus, John A., Desai, Nihar, Rumsfeld, John S., Masoudi, Frederick A., Huang, Chenxi, Normand, Sharon-Lise, Mortazavi, Bobak J., Krumholz, Harlan M.
Формат: Artigo
Язык:Inglês
Опубликовано: American Medical Association 2021
Предметы:
Original Investigation
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7948114/
https://ncbi.nlm.nih.gov/pubmed/33688915
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamacardio.2021.0122
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