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Development and Temporal Validation of a Machine Learning Model to Predict Clinical Deterioration.

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Bibliographic Details
Title:	Development and Temporal Validation of a Machine Learning Model to Predict Clinical Deterioration.
Authors:	Foote HP; Divisions of Pediatric Cardiology., Shaikh Z; Duke Institute for Health Innovation.; Department of Medicine, Weill Cornell Medical Center, New York, New York., Witt D; Duke Institute for Health Innovation.; Mayo Clinic Alix School of Medicine, Rochester, Minnesota., Shen T; Department of Biomedical Engineering., Ratliff W; Duke Institute for Health Innovation., Shi H; Duke Institute for Health Innovation., Gao M; Duke Institute for Health Innovation., Nichols M; Duke Institute for Health Innovation., Sendak M; Duke Institute for Health Innovation., Balu S; Duke Institute for Health Innovation., Osborne K; Duke University Health System, Duke University, Durham, North Carolina., Kumar KR; Pediatric Critical Care Medicine., Jackson K; Pediatric Critical Care Medicine., McCrary AW; Divisions of Pediatric Cardiology., Li JS; Divisions of Pediatric Cardiology.
Source:	Hospital pediatrics [Hosp Pediatr] 2024 Jan 01; Vol. 14 (1), pp. 11-20.
Publication Type:	Journal Article; Research Support, Non-U.S. Gov't
Journal Info:	Publisher: American Academy of Pediatrics Country of Publication: United States NLM ID: 101585349 Publication Model: Print Cited Medium: Internet ISSN: 2154-1671 (Electronic) Linking ISSN: 21541671 NLM ISO Abbreviation: Hosp Pediatr Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	2154-1671
DOI:	10.1542/hpeds.2023-007308