Nonlinear association between visceral fat metabolism score and heart failure: insights from LightGBM modeling and SHAP-Driven feature interpretation in NHANES

Nonlinear association between visceral fat metabolism score and heart failure: insights from LightGBM modeling and SHAP-Driven feature interpretation in NHANES

Abstract Objective Using 2005–2018 NHANES data, this study examined the association between the visceral fat metabolism score (METS-VF) and heart failure (HF) prevalence in U.S. adults, leveraging machine learning (LightGBM/XGBoost) and SHAP for classfication performance evaluation and feature inter...

Full description

Saved in:
Bibliographic Details
Main Authors: Ningyi Cheng, Yukun Chen, Lei Jin, Liangwan Chen
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
METS-VF
Heart failure
Machine learning
SHAP
NHANES
Online Access:https://doi.org/10.1186/s12911-025-03076-7
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12911-025-03076-7

Similar Items