Development and comparison of machine learning-based models for predicting heart failure after acute myocardial infarction
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Aims: Heart failure (HF) is one of the common adverse cardiovascular events after acute myocardial infarction (AMI), but the predictive efficacy of numerous machine learning (ML) built models is unclear. This study aimed to build... ...
