Predictive Modeling to Identify Children With Complex Health Needs At Risk for Hospitalization.

Ming, David Y; Zhao, Congwen; Tang, Xinghong; Chung, Richard J; Rogers, Ursula A; Stirling, Andrew; Economou-Zavlanos, Nicoleta J; Goldstein, Benjamin A

Ming, David Y; Zhao, Congwen; Tang, Xinghong; Chung, Richard J; Rogers, Ursula A; Stirling, Andrew; Economou-Zavlanos, Nicoleta J; Goldstein, Benjamin A.

Affiliation

Ming DY; Departments of Pediatrics.
Zhao C; Medicine.
Tang X; Population Health Sciences.
Chung RJ; Biostatistics & Bioinformatics, and.
Rogers UA; Janssen Research & Development, LLC, Raritan, New Jersey.
Stirling A; Departments of Pediatrics.
Economou-Zavlanos NJ; Medicine.
Goldstein BA; Duke AI Health, Duke University School of Medicine, Durham, North Carolina.

Hosp Pediatr ; 13(5): 357-369, 2023 05 01.

Article in En | MEDLINE | ID: mdl-37092278

Subject(s)

Hospitalization; Machine Learning; Humans; Child; Retrospective Studies; Predictive Value of Tests; Electronic Health Records

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Machine Learning / Hospitalization Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Child / Humans Language: En Journal: Hosp Pediatr Year: 2023 Document type: Article Country of publication: United States

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