Machine learning model predicts short-term mortality among prehospital patients: A prospective development study from Finland.

Tamminen, Joonas; Kallonen, Antti; Hoppu, Sanna; Kalliomäki, Jari

Tamminen, Joonas; Kallonen, Antti; Hoppu, Sanna; Kalliomäki, Jari.

Afiliación

Tamminen J; Faculty of Medicine and Health Technology, Tampere University, PO Box 2000, FI-33521 Tampere, Finland.
Kallonen A; Emergency Medical Services, Tampere University Hospital, PO Box 2000, FI-33521 Tampere, Finland.
Hoppu S; Faculty of Medicine and Health Technology, Tampere University, PO Box 2000, FI-33521 Tampere, Finland.
Kalliomäki J; Emergency Medical Services, Tampere University Hospital, PO Box 2000, FI-33521 Tampere, Finland.

Resusc Plus ; 5: 100089, 2021 Mar.

Article en En | MEDLINE | ID: mdl-34223354

Palabras clave

Machine learning; NEWS; Prehospital; Risk stratification

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Resusc Plus Año: 2021 Tipo del documento: Article País de afiliación: Finlandia Pais de publicación: Países Bajos

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