Machine learning and SHAP value interpretation for predicting cardiovascular disease risk in patients with diabetes using dietary antioxidants

ObjectiveThis study aims to develop and validate a machine learning model that integrates dietary antioxidants to predict cardiovascular disease (CVD) risk in diabetic patients. By analyzing the contributions of key antioxidants using SHAP values, the study offers evidence-based insights and dietary...

Full description

Saved in:
Bibliographic Details
Main Authors: Xinyu Zhang, Sen Lin, Qingling Zeng, Lisheng Peng, Chaoguang Yan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Nutrition
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnut.2025.1612369/full
Tags: Add Tag
No Tags, Be the first to tag this record!