Predicting gastric cancer survival using machine learning: A systematic review.

Journal: World journal of gastrointestinal oncology
Published Date: May 15, 2025

Abstract

BACKGROUND: Gastric cancer (GC) has a poor prognosis, and the accurate prediction of patient survival remains a significant challenge in oncology. Machine learning (ML) has emerged as a promising tool for survival prediction, though concerns regarding model interpretability, reliance on retrospective data, and variability in performance persist.

Authors

  • Hong-Niu Wang
    Department of Graduate School of Medicine, Changzhi Medical College, Changzhi 046000, Shanxi Province, China.
  • Jia-Hao An
    Department of Graduate School of Medicine, Changzhi Medical College, Changzhi 046000, Shanxi Province, China.
  • Fu-Qiang Wang
    Department of Gastrointestinal Surgery, Changzhi People's Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi 046000, Shanxi Province, China.
  • Wen-Qing Hu
    Department of Gastrointestinal Surgery, Changzhi People's Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi 046000, Shanxi Province, China.
  • Liang Zong
    Department of Gastrointestinal Surgery, Changzhi People's Hospital, Changzhi 046000, Shanxi Province, China. 250537471@qq.com.

Keywords

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