Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients: Observational Cohort Study.

Journal: Journal of medical Internet research
Published Date: Jun 11, 2025

Abstract

BACKGROUND: Implementing machine learning models to identify clinical deterioration in the wards is associated with decreased morbidity and mortality. However, these models have high false positive rates and only use structured data.

Authors

  • Charles A Kotula
    Department of Medicine, University of Wisconsin-Madison, 610 Walnut St, Madison, WI, 53792, United States, 1 608-262-9564.
  • Jennie Martin
    Department of Medicine, University of Wisconsin-Madison, Madison, WI 53792, United States.
  • Kyle A Carey
    Department of Medicine, University of Chicago, Chicago IL, United States.
  • Dana P Edelson
  • Dmitriy Dligach
    Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, Maywood, IL.
  • Anoop Mayampurath
    Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States.
  • Majid Afshar
    Loyola University Chicago, Chicago, IL.
  • Matthew M Churpek
    Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States.

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