Machine learning to identify a composite indicator to predict cardiac death in ischemic heart disease

Machine learning (ML) employs algorithms that learn from data, building models with the potential to predict events by aggregating a large number of variables and assessing their complex interactions. The aim of this study is to assess ML potential in identifying patients with ischemic heart disease (IHD) at high risk of cardiac death (CD).

Source: International Journal of Cardiology - March 23, 2024 Category: Cardiology Authors: Alessandro Pingitore, Chenxiang Zhang, Cristina Vassalle, Paolo Ferragina, Patrizia Landi, Francesca Mastorci, Rosa Sicari, Alessandro Tommasi, Cesare Zavattari, Giuseppe Prencipe, Alina S îrbu Source Type: research