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
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Journals

  1. Kotula C, Martin J, Carey K, Edelson D, Dligach D, Mayampurath A, Afshar M, Churpek M. Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients: Observational Cohort Study. Journal of Medical Internet Research 2025;27:e75340 View