Machine Learning in Colorectal Cancer Risk Prediction from Routinely Collected Data: A Review

The inclusion of machine-learning-derived models in systematic reviews of risk prediction models for colorectal cancer is rare. Whilst such reviews have highlighted methodological issues and limited performance of the models included, it is unclear why machine-learning-derived models are absent and...

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Detalles Bibliográficos
Autores principales: Burnett, Bruce, Zhou, Shang-Ming, Brophy, Sinead, Davies, Phil, Ellis, Paul, Kennedy, Jonathan, Bandyopadhyay, Amrita, Parker, Michael, Lyons, Ronan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858109/
https://www.ncbi.nlm.nih.gov/pubmed/36673111
http://dx.doi.org/10.3390/diagnostics13020301

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858109/
https://www.ncbi.nlm.nih.gov/pubmed/36673111
http://dx.doi.org/10.3390/diagnostics13020301

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