Development and Validation of a Machine Learning Model for Early Detection of Untreated Infection.

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Bibliographic Details
Title: Development and Validation of a Machine Learning Model for Early Detection of Untreated Infection.
Authors: Buell KG; Department of Medicine, University of Chicago Medical Center, Chicago, IL., Carey KA; Department of Medicine, University of Chicago Medical Center, Chicago, IL., Dussault N; Department of Medicine, Duke University, Raleigh-Durham, NC., Parker WF; Department of Medicine, University of Chicago Medical Center, Chicago, IL., Dumanian J; Department of Medicine, Duke University, Raleigh-Durham, NC., Bhavani SV; Department of Medicine, Emory University, Atlanta, GA., Gilbert ER; Department of Medicine, Loyola University, Chicago, IL., Winslow CJ; Department of Medicine, Endeavor Health, Evanston, IL., Shah NS; Department of Medicine, University of Chicago Medical Center, Chicago, IL.; Department of Medicine, Endeavor Health, Evanston, IL., Afshar M; Department of Medicine, University of Wisconsin-Madison, Madison, WI., Edelson DP; Department of Medicine, University of Chicago Medical Center, Chicago, IL., Churpek MM; Department of Medicine, University of Wisconsin-Madison, Madison, WI.; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI.
Source: Critical care explorations [Crit Care Explor] 2024 Oct 11; Vol. 6 (10), pp. e1165. Date of Electronic Publication: 2024 Oct 11 (Print Publication: 2024).
Publication Type: Journal Article; Validation Study; Research Support, N.I.H., Extramural
Journal Info: Publisher: Wolters Kluwer Health Country of Publication: United States NLM ID: 101746347 Publication Model: eCollection Cited Medium: Internet ISSN: 2639-8028 (Electronic) Linking ISSN: 26398028 NLM ISO Abbreviation: Crit Care Explor Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2639-8028
DOI:10.1097/CCE.0000000000001165