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...

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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
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https://www.frontiersin.org/articles/10.3389/fendo.2024.1449064/full

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