Machine learning models for prediction of lymph node metastasis in patients with gastric cancer: a Chinese single-centre study with external validation in an Asian American population.

Journal: BMJ open
PMID:

Abstract

OBJECTIVE: To develop and validate machine learning (ML)-based models to predict lymph node metastasis (LNM) in patients with gastric cancer (GC).

Authors

  • Qian Li
    Emergency and Critical Care Center, Department of Emergency Medicine, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, China.
  • Shangcheng Yan
    Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Weiran Yang
    Institute of Exercise Training and Sport Informatics, German Sport University, Cologne, Germany.
  • Zhuan Du
    Department of Gastrointestinal Surgery, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
  • Ming Cheng
  • Renwei Chen
    Department of Gastrointestinal Surgery, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
  • Qiankun Shao
    Department of Gastrointestinal Surgery, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
  • Yuan Tian
    Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Mengchao Sheng
    Department of Gastrointestinal Surgery, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
  • Wei Peng
    Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States.
  • Yongyou Wu
    Department of Gastrointestinal Surgery, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China wyoyo111@163.com.