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Article

A leakage-controlled machine learning framework for postprandial triglyceride phenotyping using synthetic clinical data.

Scientific reports - 16 Apr 2026

Piyavechvirat Nattakitti, Huang Yi-Jheng, Haq Qazi Mazhar Ul

Abstract excerpt

BACKGROUND: Whole blood viscosity (WBV) has been linked to cardiometabolic risk, yet its relationship with short-term postprandial triglyceride (TG) response remains unclear. We evaluated this question within a fully de-identified, statistically reconstructed synthetic cohort ([Formula: see text]), with a primary methodological objective: to demonstrate a rigorously leakage-controlled machine-learning framework...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 41991559
DOI: 10.1038/s41598-026-47362-4
PMCID: PMC13243646

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TG

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

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