Establishment of a prognostic model for gastric cancer patients who underwent radical gastrectomy using machine learning: a two-center study.

Journal: Frontiers in oncology
Published Date: Apr 11, 2024

Abstract

OBJECTIVE: Gastric cancer is a prevalent gastrointestinal malignancy worldwide. In this study, a prognostic model was developed for gastric cancer patients who underwent radical gastrectomy using machine learning, employing advanced computational techniques to investigate postoperative mortality risk factors in such patients.

Authors

  • Tong Lu
    Department of Emergency Medicine, Jining No.1 People's Hospital, Jining, China.
  • Miao Lu
    Wuxi Mental Health Center, Wuxi, China.
  • Haonan Liu
    Department of Oncology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
  • Daqing Song
    Department of Emergency Medicine, Jining No.1 People's Hospital, Jining, China.
  • Zhengzheng Wang
    Department of Gastroenterology, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
  • Yahui Guo
    Department of Gastroenterology, Xuzhou First People's Hospital, Xuzhou, China.
  • Yu Fang
    Jiangsu Normal University, Xuzhou, China.
  • Qi Chen
    Department of Gastroenterology, Jining First People's Hospital, Jining, China.
  • Tao Li
    Department of Emergency Medicine, Jining No.1 People's Hospital, Jining, China.

Keywords

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