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An Interpretable Machine Learning Model for the Diagnosis of Coronary Heart Disease in Patients with Type 2 Diabetes Mellitus: A Multi-Center Cohort Study

2026-06-29

Abstract excerpt

<title>Abstract</title> <p>Objective To develop and validate an interpretable machine learning model for predicting coronary heart disease (CHD) in patients with type 2 diabetes mellitus (T2DM), providing a clinical decision support tool for early screening and risk stratification. Methods This multi-center retrospective cohort study included 2,187 patients with T2DM. The training cohort (n = 1,667) was randoml...

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Literature Corpus work
e0a53206-e54c-5a9d-93c3-f77e94671b98
DOI
10.21203/rs.3.rs-9840166/v1
Open publication

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An Interpretable Machine Learning Model for the Diagnosis of Coronary Heart Disease in Patients with Type 2 Diabetes Mellitus: A Multi-Center Cohort StudyDOI 10.21203/rs.3.rs-9840166/v1
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