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

Electronic Health Records (1294) Advanced Data Analytics in eHealth (203) Innovations in Cancer Diagnostic and Decision Support (108) Cancer Prognosis Models and Machine Learning (61) Machine Learning (2029) Artificial Intelligence in Diabetes Care and Prevention (51)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72239, first published .
Comparison of Risk Factors, Their Interaction Patterns, and Scoring Systems for Liver Cancer Between Patients With and Those Without Diabetes: Retrospective Cohort Study Using Electronic Health Records and Tree-Structured Algorithms

Comparison of Risk Factors, Their Interaction Patterns, and Scoring Systems for Liver Cancer Between Patients With and Those Without Diabetes: Retrospective Cohort Study Using Electronic Health Records and Tree-Structured Algorithms

Comparison of Risk Factors, Their Interaction Patterns, and Scoring Systems for Liver Cancer Between Patients With and Those Without Diabetes: Retrospective Cohort Study Using Electronic Health Records and Tree-Structured Algorithms

Authors of this article:

Sarah Tsz Yui Yau1 Author Orcid Image ;   Chi Tim Hung1 Author Orcid Image ;   Eman Yee Man Leung1 Author Orcid Image ;   Albert Lee1 Author Orcid Image ;   Eng Kiong Yeoh1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Sarah Tsz Yui Yau   1 , MSc, MPH ;   Chi Tim Hung   1 , MBBS ;   Eman Yee Man Leung   1 , PhD ;   Albert Lee   1 , MPH, MD, LLM ;   Eng Kiong Yeoh   1 , MBBS

1 JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong)

Corresponding Author:

  • Eman Yee Man Leung, PhD
  • JC School of Public Health and Primary Care
  • The Chinese University of Hong Kong
  • 4/F, School of Public Health Building, Prince of Wales Hospital, Shatin
  • Hong Kong
  • China (Hong Kong)
  • Phone: 852 22528790
  • Email: yeemanleung@cuhk.edu.hk