Clinical applications of artificial intelligence in sepsis: A narrative review.

Schinkel, M; Paranjape, K; Nannan Panday, R S; Skyttberg, N; Nanayakkara, P W B

Schinkel, M; Paranjape, K; Nannan Panday, R S; Skyttberg, N; Nanayakkara, P W B.

Afiliación

Schinkel M; Section Acute Medicine, Department of Internal Medicine, Amsterdam UMC, VU University Medical Center, De Boelelaan 1118, 1081HZ, Amsterdam, the Netherlands.
Paranjape K; Section Acute Medicine, Department of Internal Medicine, Amsterdam UMC, VU University Medical Center, De Boelelaan 1118, 1081HZ, Amsterdam, the Netherlands.
Nannan Panday RS; Section Acute Medicine, Department of Internal Medicine, Amsterdam UMC, VU University Medical Center, De Boelelaan 1118, 1081HZ, Amsterdam, the Netherlands.
Skyttberg N; Department of Learning, Informatics, Management and Ethics, Health Informatics Centre, Karolinska Institutet, 171 77, Stockholm, Sweden.
Nanayakkara PWB; Section Acute Medicine, Department of Internal Medicine, Amsterdam UMC, VU University Medical Center, De Boelelaan 1118, 1081HZ, Amsterdam, the Netherlands. Electronic address: p.nanayakkara@amsterdamumc.nl.

Comput Biol Med ; 115: 103488, 2019 12.

Article en En | MEDLINE | ID: mdl-31634699

Asunto(s)

Antibacterianos/uso terapéutico; Aprendizaje Automático; Modelos Biológicos; Sepsis; Humanos; Sepsis/diagnóstico; Sepsis/tratamiento farmacológico

Palabras clave

Artificial intelligence; Machine learning; Mortality; PROBAST; Sepsis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sepsis / Aprendizaje Automático / Antibacterianos / Modelos Biológicos Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2019 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Estados Unidos

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