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Identifying Distinct Cardiometabolic Groups of Coronary Artery Calcification in Patients with Coronary Artery Disease: A Machine Learning Approach

2026-06-18

Abstract excerpt

<title>Abstract</title> <p>Background Patients with coronary artery disease (CAD) exhibit significant clinical heterogeneity. We aimed to identify distinct clinical groups in CAD patients based on their comprehensive profiles and to explore the unique risk factors for severe coronary artery calcification (CAC) within each group. Methods We retrospectively enrolled a cohort of 550 patients with CAD. Unsupervised...

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Literature Corpus work
d8a6f7b6-7756-5bef-8690-9a40e6ffd9cc
DOI
10.21203/rs.3.rs-9941903/v1
Open publication

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Identifying Distinct Cardiometabolic Groups of Coronary Artery Calcification in Patients with Coronary Artery Disease: A Machine Learning ApproachDOI 10.21203/rs.3.rs-9941903/v1
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