Development of a Machine Learning-Based Prognostic Model for Hormone Receptor-Positive Breast Cancer Using Nine-Gene Expression Signature

BACKGROUND: Determining the prognosis of hormone receptor positive (HR(+)) breast cancer (BC), which accounts for 80% of all BCs, is critical in improving survival outcomes. Stratifying individuals at high risk of BC-related mortality and improving prognosis has been the focus of research for over a...

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Detalles Bibliográficos
Autores principales: Takeshita, Takashi, Iwase, Hirotaka, Wu, Rongrong, Ziazadeh, Danya, Yan, Li, Takabe, Kazuaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elmer Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588506/
https://www.ncbi.nlm.nih.gov/pubmed/37869243
http://dx.doi.org/10.14740/wjon1700

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588506/
https://www.ncbi.nlm.nih.gov/pubmed/37869243
http://dx.doi.org/10.14740/wjon1700

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