Machine learning insight into the role of imaging and clinical variables for the prediction of obstructive coronary artery disease and revascularization: An exploratory analysis of the CONSERVE study
Fig 5
The relative importance of clinical (red) and image-based (blue) variables in the developed machine learning–based model for the prediction of 1-year revascularization.
Abbreviations: BMI = body mass index, LAD = left anterior descending coronary artery, RCA = right coronary artery, SSS = maximum segment stenosis severity.