The impact of chemotherapy and survival prediction by machine learning in early Elderly Triple Negative Breast Cancer (eTNBC): a population based study from the SEER database

PURPOSE: We aimed to analysis the impact of chemotherapy and establish prediction models of prognosis in early elderly triple negative breast cancer (eTNBC) by using machine learning. METHODS: We enrolled 4,696 patients in SEER Database who were 70 years or older, diagnosed with primary early TNBC(l...

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Detalles Bibliográficos
Autores principales: Huang, Kaiyan, Zhang, Jie, Yu, Yushuai, Lin, Yuxiang, Song, Chuangui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8973884/
https://www.ncbi.nlm.nih.gov/pubmed/35361134
http://dx.doi.org/10.1186/s12877-022-02936-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8973884/
https://www.ncbi.nlm.nih.gov/pubmed/35361134
http://dx.doi.org/10.1186/s12877-022-02936-5

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