Early prediction of unplanned critical care transfers in children using EHR-based ensemble machine learning.

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Bibliographic Details
Title: Early prediction of unplanned critical care transfers in children using EHR-based ensemble machine learning.
Authors: Tweedy E; Tsui Laboratory, Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA 19146, United States., Mehta S; Division of Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, United States.; Department of Anesthesiology and Critical Care Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.; Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA 19146, United States., Mai MV; Department of Pediatrics, Emory University School of Medicine, Atlanta, GA 30322, United States.; Information Systems and Technology, Children's Healthcare of Atlanta, Atlanta, GA 30329, United States., Ruiz V; Tsui Laboratory, Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA 19146, United States., Shi HL; Tsui Laboratory, Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA 19146, United States., Shaeffer GP; Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA 19146, United States., Nishisaki A; Division of Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, United States.; Department of Anesthesiology and Critical Care Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States., Muthu N; Department of Pediatrics, Emory University School of Medicine, Atlanta, GA 30322, United States.; Information Systems and Technology, Children's Healthcare of Atlanta, Atlanta, GA 30329, United States., Tsui FR; Tsui Laboratory, Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA 19146, United States.; Department of Anesthesiology and Critical Care Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.; Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA 19146, United States.; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, United States.
Source: JAMIA open [JAMIA Open] 2026 Jun 13; Vol. 9 (3), pp. ooag105. Date of Electronic Publication: 2026 Jun 13 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press on behalf of the American Medical Informatics Association Country of Publication: United States NLM ID: 101730643 Publication Model: eCollection Cited Medium: Internet ISSN: 2574-2531 (Electronic) Linking ISSN: 25742531 NLM ISO Abbreviation: JAMIA Open Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2574-2531
DOI:10.1093/jamiaopen/ooag105