ANALYSIS OF ALGORITHMS FOR PREDICTING THE PROBABILITY OF FATAL OUTCOME IN PATIENTS AFTER MYOCARDIAL INFARCTION

This paper examines various algorithms for predicting the probability of death in patients who have had a myocardial infarction. Classical statistical models, machine learning algorithms, and hybrid models for factor risk analysis are considered. Using these algorithms allows providing patients with individual medical care.