Simple Linear Cancer Risk Prediction Models With Novel Features Outperform Complex Approaches

The ability to accurately predict an individual's risk for cancer is critical to the implementation of precision prevention measures. Current cancer risk predictions are frequently made with simple models that use a few proven risk factors, such as the Gail model for breast cancer, which are ea...

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Detalles Bibliográficos
Autores principales: Kulm, Scott, Kofman, Lior, Mezey, Jason, Elemento, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2022
Materias:
ORIGINAL REPORTS
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8920463/
https://www.ncbi.nlm.nih.gov/pubmed/35239414
http://dx.doi.org/10.1200/CCI.21.00166

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8920463/
https://www.ncbi.nlm.nih.gov/pubmed/35239414
http://dx.doi.org/10.1200/CCI.21.00166

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