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A novel generative multi-task representation learning approach for predicting postoperative complications in cardiac surgery patients
5
Zitationen
5
Autoren
2024
Jahr
Abstract
Our advanced representation learning framework surgVAE showed excellent discriminatory performance for predicting postoperative complications and addressing the challenges of data complexity, small cohort sizes, and low-frequency positive events. surgVAE enables data-driven predictions of patient risks and prognosis while enhancing the interpretability of patient risk profiles.
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