HIGHLIGHTS
- who: Sungsoo Cho from the Harvard Medical School, United States Division of Cardiovascular Medicine, Department of Internal Medicine, Dankook University have published the research work: Machine learning models of clinically relevant biomarkers for the prediction of stable obstructive coronary artery disease, in the Journal: (JOURNAL)
- what: The authors aimed to develop ML models using these features to predict stable obstructive CAD and determine the ranking of the features` predictive contribution.
- how: Only few studies have been conducted on stable obstructive CAD prediction by incorporating multiple biomarkers into the Model performance and comparison to . . .
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