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

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Title: Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients: Observational Cohort Study.
Authors: Kotula CA; Department of Medicine, University of Wisconsin-Madison, 610 Walnut St, Madison, WI, 53792, United States, 1 608-262-9564., Martin J; Department of Medicine, University of Wisconsin-Madison, 610 Walnut St, Madison, WI, 53792, United States, 1 608-262-9564., Carey KA; Department of Medicine, University of Chicago, Chicago, IL, United States., Edelson DP; Department of Medicine, University of Chicago, Chicago, IL, United States., Dligach D; Department of Computer Science, Loyola University Chicago, Chicago, IL, United States., Mayampurath A; Department of Medicine, University of Wisconsin-Madison, 610 Walnut St, Madison, WI, 53792, United States, 1 608-262-9564.; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States., Afshar M; Department of Medicine, University of Wisconsin-Madison, 610 Walnut St, Madison, WI, 53792, United States, 1 608-262-9564.; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States., Churpek MM; Department of Medicine, University of Wisconsin-Madison, 610 Walnut St, Madison, WI, 53792, United States, 1 608-262-9564.; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States.
Source: Journal of medical Internet research [J Med Internet Res] 2025 Jun 11; Vol. 27, pp. e75340. Date of Electronic Publication: 2025 Jun 11.
Publication Type: Comparative Study; Journal Article; Multicenter Study; Observational Study
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1438-8871
DOI:10.2196/75340