Laboratory parameter‐based machine learning model for excluding non‐alcoholic fatty liver disease (NAFLD) in the general population

Volume: 46, Issue: 4, Pages: 447 - 456
Published: Jun 6, 2017
Abstract
Non-alcoholic fatty liver disease (NAFLD) affects 20%-40% of the general population in developed countries and is an increasingly important cause of hepatocellular carcinoma. Electronic medical records facilitate large-scale epidemiological studies, existing NAFLD scores often require clinical and anthropometric parameters that may not be captured in those databases.To develop and validate a laboratory parameter-based machine learning model to...
Paper Details
Title
Laboratory parameter‐based machine learning model for excluding non‐alcoholic fatty liver disease (NAFLD) in the general population
Published Date
Jun 6, 2017
Volume
46
Issue
4
Pages
447 - 456
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