Prof. Ron Unger – Machine learning for prediction of 30-day mortality after ST elevation myocardial infraction An Acute Coronary Syndrome Israeli Survey data mining study

Abstract Background Risk scores for prediction of mortality 30-days following a ST-segment elevation myocardial infarction (STEMI) have been developed using a conventional statistical approach. Objective To evaluate an array of machine learning (ML) algorithms for prediction of mortality at 30-days in STEMI patients and to compare these to the conventional validated risk scores. Methods This was a…

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