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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