Predicting NAFLD prevalence in the United States using National Health and Nutrition Examination Survey 2017–2018 transient elastography data and application of machine learning

Predicting NAFLD prevalence in the United States using National Health and Nutrition Examination Survey 2017–2018 transient elastography data and application of machine learning

Abstract This cohort analysis investigated the prevalence of nonalcoholic fatty liver disease (NAFLD) and NAFLD with fibrosis at different stages, associated clinical characteristics, and comorbidities in the general United States population and a subpopulation with type 2 diabetes mellitus (T2DM),...

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Bibliographic Details
Main Authors: Mazen Noureddin, Fady Ntanios, Deepa Malhotra, Katherine Hoover, Birol Emir, Euan McLeod, Naim Alkhouri
Format: Article
Language:English
Published: Wolters Kluwer Health/LWW 2022-07-01
Series:Hepatology Communications
Online Access:https://doi.org/10.1002/hep4.1935

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https://doi.org/10.1002/hep4.1935

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