Comparison and development of advanced machine learning tools to predict nonalcoholic fatty liver disease: An extended study

Volume: 20, Issue: 5, Pages: 409 - 415
Published: Oct 1, 2021
Abstract
Nonalcoholic fatty liver disease (NAFLD) is a public health challenge and significant cause of morbidity and mortality worldwide. Early identification is crucial for disease intervention. We recently proposed a nomogram-based NAFLD prediction model from a large population cohort. We aimed to explore machine learning tools in predicting NAFLD.A retrospective cross-sectional study was performed on 15 315 Chinese subjects (10 373 training and 4942...
Paper Details
Title
Comparison and development of advanced machine learning tools to predict nonalcoholic fatty liver disease: An extended study
Published Date
Oct 1, 2021
Volume
20
Issue
5
Pages
409 - 415
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