Machine learning-based disease risk stratification and prediction of metabolic dysfunction-associate...
Machine learning-based disease risk stratification and prediction of metabolic dysfunction-associated fatty liver disease using vibration-controlled transient elastography: Result from NHANES 2021–2023
About this item
Full title
Author / Creator
Huang, Liqiong , Luo, Yu , Zhang, Li , Wu, Mengqi and Hu, Lirong
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
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Scope and Contents
Contents
Metabolic dysfunction-associated fatty liver disease (MAFLD) is a common chronic liver disease and represents a significant public health issue. Nevertheless, current risk stratification methods remain inadequate. The study aimed to use machine learning in the identification of significant features and the development of a predictive model to deter...
Alternative Titles
Full title
Machine learning-based disease risk stratification and prediction of metabolic dysfunction-associated fatty liver disease using vibration-controlled transient elastography: Result from NHANES 2021–2023
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_070297dec4be427c839c7b57627b21a4
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_070297dec4be427c839c7b57627b21a4
Other Identifiers
ISSN
1471-230X
E-ISSN
1471-230X
DOI
10.1186/s12876-025-03850-x
