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Development and Validation of a Machine Learning Model Integrating SPECT MPI Multiparametric Features for Risk Prediction in Coronary Artery Disease with Preserved Ejection Fraction

2026-08-14

Abstract excerpt

<title>Abstract</title> <p> <bold>Objective</bold> Early identification of high-risk patients with coronary artery disease (CAD) and preserved left ventricular ejection fraction (LVEF) is essential for optimizing management. This study aimed to develop a machine learning model integrating clinical and myocardial perfusion imaging (MPI)–derived parameters to predict major adverse cardiac events (MACE). <bold>Me...

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Literature Corpus work: b6aa07bd-2067-5b10-9d13-40cb51ec53cd
DOI: 10.21203/rs.3.rs-10383224/v1

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