Development and validation of a novel prediction model to identify patients in need of specialized trauma care during field triage: design and rationale of the GOAT study.

van der Sluijs, Rogier; Debray, Thomas P A; Poeze, Martijn; Leenen, Loek P H; van Heijl, Mark

van der Sluijs, Rogier; Debray, Thomas P A; Poeze, Martijn; Leenen, Loek P H; van Heijl, Mark.

Afiliación

van der Sluijs R; 1Department of Traumatology, Maastricht University Medical Center, Maastricht, The Netherlands.
Debray TPA; 2Department of Traumatology, University Medical Center Utrecht, Utrecht, The Netherlands.
Poeze M; Department of Surgery, Diakonessenhuis Utrecht/Zeist/Doorn, Utrecht, The Netherlands.
Leenen LPH; 4Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
van Heijl M; 5Cochrane Netherlands, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.

Diagn Progn Res ; 3: 12, 2019.

Article en En | MEDLINE | ID: mdl-31245626

Palabras clave

Diagnosis; Emergency Medical Services; External validation; Gradient boosting; Machine learning; Meta-analysis; Prediction model; Study protocol; Trauma Triage App; Triage

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Diagn Progn Res Año: 2019 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido

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