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Dynamic Survival Analysis for Early Event Prediction
March 20, 2024, 4:42 a.m. | Hugo Y\`eche, Manuel Burger, Dinara Veshchezerova, Gunnar R\"atsch
cs.LG updates on arXiv.org arxiv.org
Abstract: This study advances Early Event Prediction (EEP) in healthcare through Dynamic Survival Analysis (DSA), offering a novel approach by integrating risk localization into alarm policies to enhance clinical event metrics. By adapting and evaluating DSA models against traditional EEP benchmarks, our research demonstrates their ability to match EEP models on a time-step level and significantly improve event-level metrics through a new alarm prioritization scheme (up to 11% AuPRC difference). This approach represents a significant step …
abstract advances analysis arxiv benchmarks clinical cs.lg dsa dynamic event healthcare localization match metrics novel prediction research risk study survival through type
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