Machine learning predicts the prognosis of breast cancer patients with initial bone metastases

Machine learning predicts the prognosis of breast cancer patients with initial bone metastases

BackgroundBone is the most common metastatic site of patients with advanced breast cancer and the survival time is their primary concern; however, we lack accurate predictive models in clinical practice. In addition to this, primary surgery for breast cancer patients with bone metastases is still co...

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Bibliographic Details
Main Authors: Chaofan Li, Mengjie Liu, Jia Li, Weiwei Wang, Cong Feng, Yifan Cai, Fei Wu, Xixi Zhao, Chong Du, Yinbin Zhang, Yusheng Wang, Shuqun Zhang, Jingkun Qu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Public Health
Subjects:
breast cancer
bone metastases
XGBoost algorithm
neoadjuvant chemotherapy
SEER
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.1003976/full

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https://www.frontiersin.org/articles/10.3389/fpubh.2022.1003976/full

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