Risk of bias of prognostic models developed using machine learning: a systematic review in oncology

BACKGROUND: Prognostic models are used widely in the oncology domain to guide medical decision-making. Little is known about the risk of bias of prognostic models developed using machine learning and the barriers to their clinical uptake in the oncology domain. METHODS: We conducted a systematic rev...

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Detalles Bibliográficos
Autores principales: Dhiman, Paula, Ma, Jie, Andaur Navarro, Constanza L., Speich, Benjamin, Bullock, Garrett, Damen, Johanna A. A., Hooft, Lotty, Kirtley, Shona, Riley, Richard D., Van Calster, Ben, Moons, Karel G. M., Collins, Gary S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261114/
https://www.ncbi.nlm.nih.gov/pubmed/35794668
http://dx.doi.org/10.1186/s41512-022-00126-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261114/
https://www.ncbi.nlm.nih.gov/pubmed/35794668
http://dx.doi.org/10.1186/s41512-022-00126-w

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