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Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques.
Andaur Navarro, Constanza L; Damen, Johanna A A G; Takada, Toshihiko; Nijman, Steven W J; Dhiman, Paula; Ma, Jie; Collins, Gary S; Bajpai, Ram; Riley, Richard D; Moons, Karel Gm; Hooft, Lotty.
Afiliación
  • Andaur Navarro CL; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands c.l.andaurnavarro@umcutrecht.nl.
  • Damen JAAG; Cochrane Netherlands, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
  • Takada T; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
  • Nijman SWJ; Cochrane Netherlands, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
  • Dhiman P; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
  • Ma J; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
  • Collins GS; Center for Statistics in Medicine, University of Oxford, Oxford, UK.
  • Bajpai R; Center for Statistics in Medicine, University of Oxford, Oxford, UK.
  • Riley RD; Center for Statistics in Medicine, University of Oxford, Oxford, UK.
  • Moons KG; School of Primary, Community and Social Care, Keele University, Keele, UK.
  • Hooft L; School of Primary, Community and Social Care, Keele University, Keele, UK.
BMJ Open ; 10(11): e038832, 2020 Nov 11.
Article en En | MEDLINE | ID: mdl-33177137

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proyectos de Investigación / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies / Systematic_reviews Aspecto: Ethics Límite: Humans Idioma: En Revista: BMJ Open Año: 2020 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proyectos de Investigación / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies / Systematic_reviews Aspecto: Ethics Límite: Humans Idioma: En Revista: BMJ Open Año: 2020 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido