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

Applications of AI (1044) Clinical Informatics (2353) Clinical Information and Decision Making (3827) Decision Support for Health Professionals (2299) Machine Learning (3289) Artificial Intelligence (4918)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81642, first published .
Nurse preparing injection for elderly patient in hospital room

Treatment Recommendations for Clinical Deterioration on the Wards: Development and Validation of Machine Learning Models

Treatment Recommendations for Clinical Deterioration on the Wards: Development and Validation of Machine Learning Models

Authors of this article:

Eric Pulick1 Author Orcid Image ;   Kyle A Carey2 Author Orcid Image ;   Tonela Qyli3 Author Orcid Image ;   Madeline K Oguss3 Author Orcid Image ;   Jamila K Picart4 Author Orcid Image ;   Leena Penumalee5 Author Orcid Image ;   Lily K Nezirova6 Author Orcid Image ;   Sean T Tully6 Author Orcid Image ;   Emily R Gilbert6 Author Orcid Image ;   Nirav S Shah7 Author Orcid Image ;   Urmila Ravichandran8 Author Orcid Image ;   Majid Afshar3, 9 Author Orcid Image ;   Dana P Edelson2 Author Orcid Image ;   Yonatan Mintz1 Author Orcid Image ;   Matthew M Churpek3, 9 Author Orcid Image
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Journals

  1. Nguyen O, Wiegmann D, Haddad J, Doerr S, Ahmad A, Oguss M, Akel M, Wieben A, Reid J, Allan J, Edelson D, Churpek M. Development and usability testing of a machine learning clinical decision support tool for suggesting etiologies and treatment of clinical deterioration. Journal of Critical Care 2027;97:155748 View