Machine ​learning algorithms for claims data-based prediction of in-hospital mortality in patients with heart failure.

We introduced reliable models to calculate expected in-hospital mortality based only on administrative routine data using ML algorithms. A broad application could supplement quality measurement programs and therefore improve future HF patient care.