Accessibility settings

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

Electronic Health Records (1390) Advanced Data Analytics in eHealth (240) Machine Learning (2254) Innovations in Cancer Diagnostic and Decision Support (122) Artificial Intelligence in Diabetes Care and Prevention (65) Cancer Prognosis Models and Machine Learning (86)

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 (1) Tweetations Metrics

Journals

  1. Yau S, Leung E, Hung C, Wong M, Chong K, Lee A, Yeoh E. Interaction Patterns Among Risk Factors for Liver Cancer in Patients With Type 2 Diabetes in Primary Care: A Retrospective Cohort Study. Health Science Reports 2026;9(4) View