Establishment and clinical application of a prognostic index for inflammatory status in triple-negative breast cancer patients undergoing neoadjuvant therapy using machine learning.

Abstract

Authors

• Hao Sun
  Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
• Jian Liang
  Cloud and Smart Industries Group, Tencent, Beijing, China.
• Shuanglong Xue
  Department of Breast Surgery, Sixth Affiliated Hospital of Harbin Medical University, Harbin, 150023, China.
• Xiaoyan Zhang
  Institute of Information and Navigation, Air Force Engineering University, Xi'an, Shaanxi, China.
• Mingqiang Ding
  Department of Breast Surgery, Sixth Affiliated Hospital of Harbin Medical University, Harbin, 150023, China.
• Jingna Zhu
  Department of Breast Surgery, Sixth Affiliated Hospital of Harbin Medical University, Harbin, 150023, China.
• Abiyasi Nanding
  Imaging Center, Harbin Medical University Cancer Hospital, Harbin, China.
• Tianyi Liu
  Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China.
• Ge Lou
  Department of Pathology, Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, China.
• Yue Gao
  Institute of Medical Technology, Peking University Health Science Center, Beijing, China.
• Yingjie Li
  School of Communication and Information Engineering, Shanghai University, China.
• Lei Zhong
  Department of Intensive Care Unit, National Cancer Center/National Clinical Research Center, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Keywords

External Resources