A hybrid machine learning and natural language processing model for early detection of acute coronary syndrome
Acute coronary syndrome (ACS) is a leading cause of mortality and morbidity.Predicting the associated risks of patients with chest pain using electronic health record data can help identify those needing more tailored care.This study proposes the development of a reliable prediction framework to serve as a diagnostic support tool for preventing mis