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Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/94837, first published .
Woman holding her stomach in pain

Development and Validation of an Interpretable Machine Learning Model for Staging Helicobacter pylori–Initiated Intestinal-Type Gastric Cancer in the Correa Cascade: Cross-Sectional Study

Development and Validation of an Interpretable Machine Learning Model for Staging Helicobacter pylori–Initiated Intestinal-Type Gastric Cancer in the Correa Cascade: Cross-Sectional Study

Jiawei Tang   1 * , MMed ;   Huijin Chen   2 * , MD ;   Wenwen Zhang   3 , MD ;   Alfred Chin Yen Tay   1 , PhD ;   Barry J Marshall   1 , MD ;   Cong Ma   4 , PhD ;   Liang Wang   5, 6, 7, 8 , PhD

1 The Marshall Centre for Interventions in Infectious Disease, The University of Western Australia, Perth, Australia

2 Department of Laboratory Medicine, Shengli Oilfield Central Hospital, Dongyin, Shandong, China

3 Department of Clinical Medicine, School of the 1st Clinical Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China

4 Marshall Research Centre for Medical Microbial Biotechnology, Department of Life Sciences, Faculty of Science, The Hong Kong Polytechnic University (PolyU), Hongkong, China (Hong Kong)

5 Department of Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China

6 School of Medicine, South China University of Technology, Guangzhou, Guangdong, China

7 Department of Intelligent Medical Engineering, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu, China

8 School of Molecular Sciences, School of Biomedical Sciences, The University of Western Australia, Perth, Australia

*these authors contributed equally

Corresponding Author:

  • Liang Wang, PhD
  • Department of Laboratory Medicine
  • Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University
  • No. 106, Zhongshan 2nd Road, Yuexiu District
  • Guangzhou, Guangdong 510080
  • China
  • Phone: 86 13921750542
  • Email: healthscience@foxmail.com