Machine learning models including insulin resistance indexes for predicting liver stiffness in United States population: Data from NHANES

Machine learning models including insulin resistance indexes for predicting liver stiffness in United States population: Data from NHANES

BackgroundPrevention and treatment of liver fibrosis at an early stage is of great prognostic importance, whereas changes in liver stiffness are often overlooked in patients before the onset of obvious clinical symptoms. Recognition of liver fibrosis at an early stage is therefore essential.Objectiv...

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Bibliographic Details
Main Authors: Kexing Han, Kexuan Tan, Jiapei Shen, Yuting Gu, Zilong Wang, Jiayu He, Luyang Kang, Weijie Sun, Long Gao, Yufeng Gao
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Public Health
Subjects:
liver cirrhosis
liver stiffness measurement (LSM)
insulin resistance
HOMA-IR
METS-IR
machine learning model
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.1008794/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2022.1008794/full

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