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Article

Predicting Metabolic Dysfunction-Associated Fatty Liver Disease Phenotypes Among Adults: 2-Stage Contrastive Learning Method.

JMIR medical informatics - 12 Dec 2025

Chen Sizhe Jasmine, Xu Da, Hu Derek K, Hu Paul Jen-Hwa, Huang Ting-Shuo

Abstract excerpt

Background: Metabolic dysfunction-associated fatty liver disease (MAFLD) is a leading cause of chronic disease and can progress to liver fibrosis or hepatocellular carcinoma. Its subtypes-obese, diabetic, and lean-are associated with varying degrees of fibrotic burden and different complications, yet the existing analytics methods often overlook its multisystem nature, intraphenotype variability, and disease...

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Topics

Humans
Phenotype
Male
Female
Adult
Middle Aged
Machine Learning

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Fatty Liver

Aged

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Identifiers

PMID: 41392385
DOI: 10.2196/75747
PMCID: PMC12702840

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