Development of Cost-Effective Fatty Liver Disease Prediction Models in a Chinese Population: Statistical and Machine Learning Approaches

Development of Cost-Effective Fatty Liver Disease Prediction Models in a Chinese Population: Statistical and Machine Learning Approaches

BackgroundThe increasing prevalence of nonalcoholic fatty liver disease (NAFLD) in China presents a significant public health concern. Traditional ultrasound, commonly used for fatty liver screening, often lacks the ability to accurately quantify steatosis, leading to insuffi...

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Bibliographic Details
Main Authors: Liang Zhang, Yueqing Huang, Min Huang, Chun-Hua Zhao, Yan-Jun Zhang, Yi Wang
Format: Article
Language:English
Published: JMIR Publications 2024-02-01
Series:JMIR Formative Research
Online Access:https://formative.jmir.org/2024/1/e53654

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https://formative.jmir.org/2024/1/e53654

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