Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review

OBJECTIVE: To assess the methodological quality of studies on prediction models developed using machine learning techniques across all medical specialties. DESIGN: Systematic review. DATA SOURCES: PubMed from 1 January 2018 to 31 December 2019. ELIGIBILITY CRITERIA: Articles reporting on the develop...

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Detalles Bibliográficos
Autores principales: Andaur Navarro, Constanza L, Damen, Johanna A A, Takada, Toshihiko, Nijman, Steven W J, Dhiman, Paula, Ma, Jie, Collins, Gary S, Bajpai, Ram, Riley, Richard D, Moons, Karel G M, Hooft, Lotty
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group Ltd. 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527348/
https://www.ncbi.nlm.nih.gov/pubmed/34670780
http://dx.doi.org/10.1136/bmj.n2281

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527348/
https://www.ncbi.nlm.nih.gov/pubmed/34670780
http://dx.doi.org/10.1136/bmj.n2281

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