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A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.
Christodoulou, Evangelia; Ma, Jie; Collins, Gary S; Steyerberg, Ewout W; Verbakel, Jan Y; Van Calster, Ben.
  • Christodoulou E; Department of Development & Regeneration, KU Leuven, Herestraat 49 box 805, Leuven, 3000 Belgium.
  • Ma J; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Windmill Road, Oxford, OX3 7LD UK.
  • Collins GS; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Windmill Road, Oxford, OX3 7LD UK; Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
  • Steyerberg EW; Department of Biomedical Data Sciences, Leiden University Medical Centre, Albinusdreef 2, Leiden, 2333 ZA The Netherlands.
  • Verbakel JY; Department of Development & Regeneration, KU Leuven, Herestraat 49 box 805, Leuven, 3000 Belgium; Department of Public Health & Primary Care, KU Leuven, Kapucijnenvoer 33J box 7001, Leuven, 3000 Belgium; Nuffield Department of Primary Care Health Sciences, University of Oxford, Woodstock Roa
  • Van Calster B; Department of Development & Regeneration, KU Leuven, Herestraat 49 box 805, Leuven, 3000 Belgium; Department of Biomedical Data Sciences, Leiden University Medical Centre, Albinusdreef 2, Leiden, 2333 ZA The Netherlands. Electronic address: ben.vancalster@kuleuven.be.
J Clin Epidemiol ; 110: 12-22, 2019 06.
Article en En | MEDLINE | ID: mdl-30763612
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Modelos Logísticos / Aprendizaje Automático Supervisado / Modelos Teóricos Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Modelos Logísticos / Aprendizaje Automático Supervisado / Modelos Teóricos Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article