Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review

BACKGROUND: While many studies have consistently found incomplete reporting of regression-based prediction model studies, evidence is lacking for machine learning-based prediction model studies. We aim to systematically review the adherence of Machine Learning (ML)-based prediction model studies to...

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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: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759172/
https://www.ncbi.nlm.nih.gov/pubmed/35026997
http://dx.doi.org/10.1186/s12874-021-01469-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759172/
https://www.ncbi.nlm.nih.gov/pubmed/35026997
http://dx.doi.org/10.1186/s12874-021-01469-6

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