Machine learning in intensive care medicine: ready for take-off?

Fleuren, Lucas M; Thoral, Patrick; Shillan, Duncan; Ercole, Ari; Elbers, Paul W G

Fleuren, Lucas M; Thoral, Patrick; Shillan, Duncan; Ercole, Ari; Elbers, Paul W G.

Afiliación

Fleuren LM; Department of Intensive Care Medicine, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, VU Amsterdam, Amsterdam, The Netherlands. l.fleuren@amst
Thoral P; Computational Intelligence Group, Department of Computer Science, VU Amsterdam, Amsterdam, The Netherlands. l.fleuren@amsterdamumc.nl.
Shillan D; Department of Intensive Care Medicine, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, VU Amsterdam, Amsterdam, The Netherlands.
Ercole A; NIHR Bristol Biomedical Research Centre, University of Bristol, Bristol, UK.
Elbers PWG; Division of Anaesthesia, University of Cambridge, Cambridge, UK.

Intensive Care Med ; 46(7): 1486-1488, 2020 07.

Article en En | MEDLINE | ID: mdl-32399747

Asunto(s)

Aprendizaje Automático; Medicina; Cuidados Críticos; Humanos; Unidades de Cuidados Intensivos

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Automático / Medicina Límite: Humans Idioma: En Revista: Intensive Care Med Año: 2020 Tipo del documento: Article País de afiliación: Países Bajos

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