Hybrid phenotype-guided modeling across algorithm-feature regimes with application to ICU mortality prediction for Acinetobacter baumannii.

Abstract excerpt

Acinetobacter baumannii causes severe intensive care unit (ICU) infections with high mortality, yet most prediction tools rely on risk scores or supervised machine learning (ML) and overlook hidden patient subgroups. This study applied a hybrid machine learning framework combining unsupervised clustering and supervised prediction to refine ICU mortality estimation and evaluate whether incorporating phenotype...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Acinetobacter baumannii
• Share to Acinetobacter Infections