Comparison of Machine Learning Optimal Classification Trees With the Pediatric Emergency Care Applied Research Network Head Trauma Decision Rules.

Bertsimas, Dimitris; Dunn, Jack; Steele, Dale W; Trikalinos, Thomas A; Wang, Yuchen

Bertsimas, Dimitris; Dunn, Jack; Steele, Dale W; Trikalinos, Thomas A; Wang, Yuchen.

Affiliation

Bertsimas D; Operations Research Center, Massachusetts Institute of Technology, Cambridge.
Dunn J; Operations Research Center, Massachusetts Institute of Technology, Cambridge.
Steele DW; Departments of Emergency Medicine and Pediatrics, Alpert Medical School, Brown University, Providence, Rhode Island.
Trikalinos TA; Center for Evidence Synthesis in Health, Brown University School of Public Health, Providence, Rhode Island.
Wang Y; Center for Evidence Synthesis in Health, Brown University School of Public Health, Providence, Rhode Island.

JAMA Pediatr ; 173(7): 648-656, 2019 07 01.

Article in En | MEDLINE | ID: mdl-31081856

Subject(s)

Craniocerebral Trauma/classification; Decision Support Techniques; Emergency Medical Services/methods; Emergency Service, Hospital; Machine Learning; Triage/methods; Adolescent; Child; Child, Preschool; Craniocerebral Trauma/diagnosis; Female; Follow-Up Studies; Humans; Infant; Infant, Newborn; Male; Prospective Studies; Trauma Severity Indices

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Triage / Decision Support Techniques / Emergency Medical Services / Emergency Service, Hospital / Machine Learning / Craniocerebral Trauma Type of study: Clinical_trials / Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male / Newborn Language: En Journal: JAMA Pediatr Year: 2019 Document type: Article Country of publication: United States

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