A Machine Learning Based Framework to Identify and Classify Non-alcoholic Fatty Liver Disease in a Large-Scale Population

A Machine Learning Based Framework to Identify and Classify Non-alcoholic Fatty Liver Disease in a Large-Scale Population

Non-alcoholic fatty liver disease (NAFLD) is a common serious health problem worldwide, which lacks efficient medical treatment. We aimed to develop and validate the machine learning (ML) models which could be used to the accurate screening of large number of people. This paper included 304,145 adul...

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Bibliographic Details
Main Authors: Weidong Ji, Mingyue Xue, Yushan Zhang, Hua Yao, Yushan Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Public Health
Subjects:
machine learning
screening model
LASSO
non-alcoholic fatty liver disease (NAFLD)
predictive models
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.846118/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2022.846118/full

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