Machine learning to guide clinical decision-making in abdominal surgery-a systematic literature review.

Henn, Jonas; Buness, Andreas; Schmid, Matthias; Kalff, Jörg C; Matthaei, Hanno

Henn, Jonas; Buness, Andreas; Schmid, Matthias; Kalff, Jörg C; Matthaei, Hanno.

Afiliación

Henn J; Department of General, Visceral, Thoracic and Vascular Surgery, University of Bonn, Bonn, Germany.
Buness A; Institute for Medical Biometry, Informatics and Epidemiology, University of Bonn, Bonn, Germany.
Schmid M; Institute for Genomic Statistics and Bioinformatics, University of Bonn, Bonn, Germany.
Kalff JC; Institute for Medical Biometry, Informatics and Epidemiology, University of Bonn, Bonn, Germany.
Matthaei H; Department of General, Visceral, Thoracic and Vascular Surgery, University of Bonn, Bonn, Germany.

Langenbecks Arch Surg ; 407(1): 51-61, 2022 Feb.

Article en En | MEDLINE | ID: mdl-34716472

Asunto(s)

Toma de Decisiones Clínicas; Aprendizaje Automático; Algoritmos; Bases de Datos Factuales; Humanos

Palabras clave

Abdominal surgery; Clinical decision-making; Digitalization; Machine learning; Postoperative complications; Risk prediction

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Toma de Decisiones Clínicas / Aprendizaje Automático Tipo de estudio: Guideline / Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Langenbecks Arch Surg Año: 2022 Tipo del documento: Article País de afiliación: Alemania

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