An interpretable deep learning framework for predicting liver metastases in postoperative colorectal cancer patients using natural language processing and clinical data integration.

Abstract

Authors

• Jia Li
  Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan Tsuihang New District, Guangdong, 528400, PR China; School of Pharmacy, Zunyi Medical University, Zunyi, 563000, PR China; National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, PR China.
• Xinghao Wang
  Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
• Linkun Cai
  College of Biological Science and Medical Engineering, Beihang University, Beijing, China.
• Jing Sun
  Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
• Zhenghan Yang
  Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
• Wenjuan Liu
  College of Materials Science and Engineering , Nanjing Tech University , Nanjing , Jiangsu 211816 , China.
• Zhenchang Wang
  School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
• Han Lv
  Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.

Keywords

External Resources