Development and validation of a nomogram-based risk prediction model for non-alcoholic fatty liver disease (NAFLD): a logistic regression analysis in a physical examination population

Development and validation of a nomogram-based risk prediction model for non-alcoholic fatty liver disease (NAFLD): a logistic regression analysis in a physical examination population

Abstract Background The global prevalence of non-alcoholic fatty liver disease (NAFLD) has reached an alarming 25%, based on recent population-based studies. NAFLD diagnosis primarily relies on imaging methods, which may be invasive, costly, or limited. Existing prediction models, such as the Fatty...

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Bibliographic Details
Main Authors: Jing Lan, Ting Que, Hong Lan, Mingming Zhang, Lichan Ban
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Gastroenterology
Subjects:
NAFLD
Prediction model
Physical examination population
Logistic regression
Training set
Validation set
Online Access:https://doi.org/10.1186/s12876-025-04115-3
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https://doi.org/10.1186/s12876-025-04115-3

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