Development and validation of machine learning models for MASLD: based on multiple potential screening indicators

Development and validation of machine learning models for MASLD: based on multiple potential screening indicators

BackgroundMultifaceted factors play a crucial role in the prevention and treatment of metabolic dysfunction-associated steatotic liver disease (MASLD). This study aimed to utilize multifaceted indicators to construct MASLD risk prediction machine learning models and explore the core factors within t...

Full description

Saved in:
Bibliographic Details
Main Authors: Hao Chen, Jingjing Zhang, Xueqin Chen, Ling Luo, Wenjiao Dong, Yongjie Wang, Jiyu Zhou, Canjin Chen, Wenhao Wang, Wenbin Zhang, Zhiyi Zhang, Yongguang Cai, Danli Kong, Yuanlin Ding
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Endocrinology
Subjects:
metabolic dysfunction-associated steatotic liver disease
machine learning
insulin resistance
triglyceride glucose
risk prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2024.1449064/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items