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...

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Detalles Bibliográficos
Autores principales: Ming, Chang, Viassolo, Valeria, Probst-Hensch, Nicole, Dinov, Ivo D., Chappuis, Pierre O., Katapodi, Maria C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
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

Internet

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

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