Article

Machine learning enables accurate prediction of breast cancer five-year survival using somatic genomic variants

2022-05-24

Abstract excerpt

Breast cancer is one of the most common cancers, accounting for about 30% of female cancers and a mortality rate of 15%. The 5-year survival rate is most commonly used to assess cancer progression and guide clinical practice. We used the CatBoost model to systematically construct a five-year mortality risk prediction model based on two independent data sets (BRCA_METABRIC, BRCA_TCGA). The model input data are the...

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Literature Corpus work: 9a63938b-b54b-541b-95e3-67084e4842ae
DOI: 10.1101/2022.05.22.492994

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