A Hybrid Modeling Framework for Generalizable and Interpretable Predictions of ICU Mortality: Leveraging ICD Codes in a Multi-Hospital Study of Mechanically Ventilated Influenza Patients

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Abstract

Abstract The development of reliable mortality risk stratification models is an active research area in computational healthcare. Mortality risk stratification provides a standard to assist physicians in evaluating a patient's condition or prognosis objectively. Particular interest lies in methods that are transparent to clinical interpretation and that retain predictive power once validated across diverse datasets they were not trained on. We've developed a hybrid model integrating mechanistic, clinical knowledge with mathematical and machine learning models to predict ICU mortality using ICD codes. A tree-structured network connecting independent modules that carry clinical meaning is implemented for interpretability. The trained model is then validated on external datasets from different hospitals, demonstrating successful generalization capabilities.

Authors 7

1. Moein E. Samadi corresponding Aachen Institute for Computational Biomedicine

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

   Institute for Computational Biomedicine, RWTH Aachen University, Aachen, Germany

2. Jorge Guzman-Maldonado Aachen Institute for Computational Biomedicine

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

   Institute for Computational Biomedicine, RWTH Aachen University, Aachen, Germany

3. Kateryna Nikulina Aachen Institute for Computational Biomedicine

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

   Institute for Computational Biomedicine, RWTH Aachen University, Aachen, Germany

4. Hedieh Mirzaieazar Aachen Institute for Computational Biomedicine

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

   Institute for Computational Biomedicine, RWTH Aachen University, Aachen, Germany

5. Konstantin Sharafutdinov Aachen Institute for Computational Biomedicine

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

   Institute for Computational Biomedicine, RWTH Aachen University, Aachen, Germany

6. Sebastian Johannes Fritsch Aachen Department of Intensive Care Medicine

   Universitätsklinikum Aachen · RWTH Aachen University

   Affiliation as printed

   Universitätsklinikum Aachen

   Department of Intensive Care Medicine, University Hospital RWTH Aachen, Aachen, Germany

7. Andreas Schuppert Aachen Institute for Computational Biomedicine

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

   Institute for Computational Biomedicine, RWTH Aachen University, Aachen, Germany