This paper is in the following e-collection/theme issue:

Machine Learning (2095) Clinical Information and Decision Making (1935) Artificial Intelligence (2162) Cancer Prognosis Models and Machine Learning (69) Innovations in Cancer Diagnostic and Decision Support (113) Decision Support for Health Professionals (1555)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82533, first published .
A Machine Learning Model Based on Clinical Factors to Predict the Efficacy of First-Line Immunochemotherapy for Patients With Advanced Gastric Cancer: Retrospective Study

A Machine Learning Model Based on Clinical Factors to Predict the Efficacy of First-Line Immunochemotherapy for Patients With Advanced Gastric Cancer: Retrospective Study

A Machine Learning Model Based on Clinical Factors to Predict the Efficacy of First-Line Immunochemotherapy for Patients With Advanced Gastric Cancer: Retrospective Study

Authors of this article:

Xu Cheng1, 2 Author Orcid Image ;   Ping Li1, 2 Author Orcid Image ;   Enqing Meng1, 2 Author Orcid Image ;   Xinyi Wu1, 2 Author Orcid Image ;   Hao Wu1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Xu Cheng   1, 2 , MSc ;   Ping Li   1, 2 , PhD ;   Enqing Meng   1, 2 , MSc ;   Xinyi Wu   1, 2 , MBS ;   Hao Wu   1, 2 , PhD

1 Gastric Cancer Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China

2 Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China

Corresponding Author:

  • Hao Wu, PhD
  • Department of Oncology
  • The First Affiliated Hospital of Nanjing Medical University
  • No. 300, Guangzhou Road, Gulou District, Nanjing City, Jiangsu Province
  • Nanjing 210029
  • China
  • Phone: 86 13913855335
  • Email: whdactor@njmu.edu.cn