Prediction of hospitalization due to heart diseases by supervised learning methods.

•Using the EHR, it is possible to accurately predict heart-related hospitalizations.•Machine learning methods improve prediction accuracy over existing risk metrics.•A novel Likelihood Ratio Test provides prediction accuracy and interpretability.•Implementing such methods can lead to improved care and drastic cost savings.