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Machine learning-based lifetime breast cancer risk reclassification compared with the BOADICEA model: impact on screening recommendations
BACKGROUND: The clinical utility of machine-learning (ML) algorithms for breast cancer risk prediction and screening practices is unknown. We compared classification of lifetime breast cancer risk based on ML and the BOADICEA model. We explored the differences in risk classification and their clinic...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7463251/ https://www.ncbi.nlm.nih.gov/pubmed/32565540 http://dx.doi.org/10.1038/s41416-020-0937-0 |