Integrating Echocardiography Parameters With Explainable Artificial Intelligence for Data-Driven Clustering of Primary Mitral Regurgitation Phenotypes.

JACC. Cardiovascular imaging(2023)

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摘要
Novel data-driven phenogrouping and explainable AI aided in improved integration of echocardiographic data to identify patients with primary MR and improved event-free survival after mitral valve repair/replacement surgery.
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关键词
mitral regurgitation,echocardiography parameters,clustering,explainable artificial intelligence,artificial intelligence,data-driven
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