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
Patients with and those without diabetes exhibit distinctive interaction patterns among key factors on liver cancer risk. The resulting scoring systems reflect interaction patterns among predictors in individual survival trees. This study may help identify targets for public health interventions and provide clinical cancer risk prediction according to diabetes status.
Authors
- Eman Leung (ORCID: https://orcid.org/0000-0002-8267-1785)
- Eng‐Kiong Yeoh (ORCID: https://orcid.org/0000-0002-1721-9450)
- Chi Tim Hung (ORCID: https://orcid.org/0000-0003-2103-8377)
- Albert Lee (ORCID: https://orcid.org/0000-0002-5888-5660)
- Sarah Tsz Yui Yau
Institutions
- Chinese University of Hong Kong (HK)
- Prince of Wales Hospital (CN)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-08-29
- DOI
- https://doi.org/10.2196/72239
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00