Combining machine learning with Cox models to identify predictors for incident post-menopausal breast cancer in the UK Biobank
<p>We aimed to identify potential novel predictors for breast cancer among post-menopausal women, with pre-specified interest in the role of polygenic risk scores (PRS) for risk prediction. We utilised an analysis pipeline where machine learning was used for feature selection, prior to risk pr...
| Principais autores: | , , , , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado em: |
Springer Nature
2023
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