This paper is in the following e-collection/theme issue:

Clinical Informatics (1328) Machine Learning (2084) Artificial Intelligence (2144) Clinical Information and Decision Making (1929)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75340, first published .
Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients: Observational Cohort Study

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

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

Authors of this article:

Charles A Kotula1 Author Orcid Image ;   Jennie Martin1 Author Orcid Image ;   Kyle A Carey2 Author Orcid Image ;   Dana P Edelson2 Author Orcid Image ;   Dmitriy Dligach3 Author Orcid Image ;   Anoop Mayampurath1, 4 Author Orcid Image ;   Majid Afshar1, 4 Author Orcid Image ;   Matthew M Churpek1, 4 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Charles A Kotula   1 , BS ;   Jennie Martin   1 , MS ;   Kyle A Carey   2 , MPH ;   Dana P Edelson   2 , MS, MD ;   Dmitriy Dligach   3 , PhD ;   Anoop Mayampurath   1, 4 , PhD ;   Majid Afshar   1, 4 , MSCR, MD ;   Matthew M Churpek   1, 4 , MPH, MD, PhD

1 Department of Medicine, University of Wisconsin–Madison, Madison, WI, United States

2 Department of Medicine, University of Chicago, Chicago, IL, United States

3 Department of Computer Science, Loyola University Chicago, Chicago, IL, United States

4 Department of Biostatistics and Medical Informatics, University of Wisconsin–Madison, Madison, WI, United States

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