CatBoost model with 14 SHAP-selected calcium-omics and fat-omics features from CTCS predicts obstructive CAD at 85.3% accuracy in 1,324 SCOT-HEART patients.
P., Lakshmanan, S., Lichtenstein, S
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Machine learning prediction of obstructive coronary artery disease using opportunistic coronary calcium and epicardial fat assessments from CT calcium scoring scans
CatBoost model with 14 SHAP-selected calcium-omics and fat-omics features from CTCS predicts obstructive CAD at 85.3% accuracy in 1,324 SCOT-HEART patients.