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Short-term and long-term outcome prediction for patients with coronary artery disease using machine learning and comprehensive multi-center patient data

2025-05-27

Abstract excerpt

<h4>Background: </h4> Revascularization decision-making for patients with coronary artery disease (CAD) can benefit from accurate patient outcome prediction. While previous studies have employed data-driven methods including machine learning (ML) to develop prediction models, they were mostly based on small patient cohorts with strict inclusion and exclusion criteria, limited feature sets, and only internal valida...

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Literature Corpus work
064aff92-4cb5-5036-b63e-44e42300e884
DOI
10.1101/2025.05.26.25328366
Open publication

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Short-term and long-term outcome prediction for patients with coronary artery disease using machine learning and comprehensive multi-center patient dataDOI 10.1101/2025.05.26.25328366
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