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Machine learning-based advanced coronary artery disease pretest probability model: Comparison with conventional pretest probability models

2026-03-27

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Pretest probability (PTP) models using clinical risk factors guide decision-making for coronary artery disease (CAD). Existing models (Updated Diamond–Forrester [UDF] and CAD Consortium [CAD2]) exhibit suboptimal predictive efficacy in Asian populations due to ethnic differences in atherosclerosis and risk profiles. We developed an advanced CAD-specific PTP model using ridge...

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Literature Corpus work
4f2ea467-b805-5347-b669-74297fb37dc0
DOI
10.64898/2026.03.25.26348861
Open publication

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Machine learning-based advanced coronary artery disease pretest probability model: Comparison with conventional pretest probability modelsDOI 10.64898/2026.03.25.26348861
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