Machine learning model for postpancreaticoduodenectomy haemorrhage prediction: an international multicentre cohort study.

Journal: BMJ open
Published Date: Jul 16, 2025

Abstract

OBJECTIVES: To develop and validate a machine learning model for precise risk stratification of postpancreaticoduodenectomy haemorrhage (PPH), enabling early identification of high-risk patients to guide clinical intervention.

Authors

  • Zhe Zhang
    Department of Urology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China.
  • Xueping Zhao
    School of Mathematical Sciences, Xiamen University, China.
  • Minjie Shang
    Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital, Hangzhou, China.
  • Qiuran Xu
    The Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou, China.
  • Xiaowei Wang
    Beijing Centers for Preventive Medical Research, Beijing 100013, China.
  • Jianwei Zhang
    University of Hamburg, 22527 Hamburg, Germany.
  • Chengfeng Wang
    Department of Pancreatic and Gastric Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. wangchengfeng62@163.com.
  • Zongting Gu
    General Surgery, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Cancer Center, Hangzhou, Zhejiang, China.

Keywords

External Resources

Popular Topics
Recent Journals