Explainable machine learning model for predicting internal mammary node metastasis in breast cancer: Multi-method development and cross-cohort validation.

Abstract

Authors

• Yirong Xiang
  Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, China.
• Jian Tie
  Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, China.
• Siyuan Zhang
  Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block, Level 11, Singapore, 119228, Singapore.
• Chen Shi
  Sino-Dutch R&D Centre for Future Wastewater Treatment Technologies, Key Laboratory of Urban Stormwater System and Water Environment, Beijing University of Civil Engineering and Architecture Beijing 100044 China xdhao@hotmail.com.
• Changkuo Guo
  Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, China.
• Yushuo Peng
  Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, China.
• Zhaoqing Fan
  Breast Center, Peking University Cancer Hospital and Institute, China. Electronic address: zhqfan@bjmu.edu.cn.
• Weihu Wang
  Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, China. Electronic address: wangweihu88@163.com.

Keywords

External Resources