Comparison of Machine Learning Models and Framingham Risk Score for the prediction of the presence and severity of Coronary Artery Diseases by using Gensini Score
Abstract:Background: The risk prediction model for cardiovascular conditions based on the routine information isn ’t established. Machine Learning (ML) models offered opportunities to build a promising and accurate prediction system for the presence and severity of Coronary Artery Diseases (CAD).
Methods: In order to compare the validation of ML models to Framingham Risk Score (FRS), a total of 2608 inpatients (1669 men, 939 women; mean age 63.16 ± 10.72 years) at our hospital from January 2015 to July 2017 were extract… Show more
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