Non-invasive assessment of NAFLD as systemic disease-A machine learning perspective.

Non-invasive assessment of NAFLD as systemic disease-A machine learning perspective.

BACKGROUND & AIMS:Current non-invasive scores for the assessment of severity of non-alcoholic fatty liver disease (NAFLD) and identification of patients with non-alcoholic steatohepatitis (NASH) have insufficient performance to be included in clinical routine. In the current study, we developed...

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Bibliographic Details
Main Authors: Ali Canbay, Julia Kälsch, Ursula Neumann, Monika Rau, Simon Hohenester, Hideo A Baba, Christian Rust, Andreas Geier, Dominik Heider, Jan-Peter Sowa
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0214436

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https://doi.org/10.1371/journal.pone.0214436

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