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Machine learning versus physicians' prediction of acute kidney injury in critically ill adults: a prospective evaluation of the AKIpredictor.
Flechet, Marine; Falini, Stefano; Bonetti, Claudia; Güiza, Fabian; Schetz, Miet; Van den Berghe, Greet; Meyfroidt, Geert.
Afiliação
  • Flechet M; Clinical Division and Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, B-3000, Leuven, Belgium.
  • Falini S; Department of Anesthesia and General Intensive Care, Humanitas Clinical and Research Center, via Manzoni 56, Rozzano, 20089, Milan, Italy.
  • Bonetti C; University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, 20126, Milan, Italy.
  • Güiza F; Clinical Division and Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, B-3000, Leuven, Belgium.
  • Schetz M; Clinical Division and Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, B-3000, Leuven, Belgium.
  • Van den Berghe G; Clinical Division and Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, B-3000, Leuven, Belgium.
  • Meyfroidt G; Clinical Division and Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, B-3000, Leuven, Belgium. geert.meyfroidt@uzleuven.be.
Crit Care ; 23(1): 282, 2019 08 16.
Article em En | MEDLINE | ID: mdl-31420056
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Médicos / Injúria Renal Aguda / Aprendizado de Máquina Tipo de estudo: Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies / Screening_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Crit Care Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Bélgica País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Médicos / Injúria Renal Aguda / Aprendizado de Máquina Tipo de estudo: Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies / Screening_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Crit Care Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Bélgica País de publicação: Reino Unido