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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Wolters Kluwer Health
2022
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| Materias: | |
| 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 |