Development and validation of a deep learning model for predicting postoperative survival of patients with gastric cancer.

Journal: BMC public health
Published Date:

Abstract

BACKGROUND: Deep learning (DL), a specialized form of machine learning (ML), is valuable for forecasting survival in various diseases. Its clinical applicability in real-world patients with gastric cancer (GC) has yet to be extensively validated.

Authors

  • Mengjie Wu
    Beijing Advanced Innovation Center for Intelligent Robots and Systems, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China.
  • Xiaofan Yang
    State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangdong), Guangdong 511458, China.
  • Yuxi Liu
    Beijing Key Laboratory for Green Catalysis and Separation, Key Laboratory of Beijing on Regional Air Pollution Control, Key Laboratory of Advanced Functional Materials, Education Ministry of China, Laboratory of Catalysis Chemistry and Nanoscience, Department of Environmental Chemical Engineering, School of Environmental and Chemical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.
  • Feng Han
    Department of Gastroenterology, The First People's Hospital of Jiaxing, Jiaxing, China.
  • Xi Li
  • Jufeng Wang
    Department of Medical Oncology, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, 450008, China.
  • Dandan Guo
    Department of Chemistry, Xixi Campus, Zhejiang University, Hangzhou, 310028, China.
  • Xiance Tang
    Department of Medical records, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China.
  • Lu Lin
    Translational Medicine Research Center, People's Hospital of Henan University of Chinese Medicine, Zhengzhou People's Hospital, Zhengzhou, Henan, 450003, China.
  • Changpeng Liu
    Department of Medical Records, Office for DRGs (Diagnosis Related Groups), Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, No. 127 Dongming Rd, PO Box 0061, Zhengzhou, Henan Province, 450008, China. zlyylcp4508@zzu.edu.cn.