In-hospital mortality, readmission, and prolonged length of stay risk prediction leveraging historical electronic patient records.

The study underscores the potential of leveraging medical history for enhanced hospital predictive analytics. We present an accurate and intuitive framework for early warning models that can be easily implemented in the current and developing digital health platforms to predict adverse outcomes accurately.