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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Detalles Bibliográficos
Autores principales: Canbay, Ali, Kälsch, Julia, Neumann, Ursula, Rau, Monika, Hohenester, Simon, Baba, Hideo A., Rust, Christian, Geier, Andreas, Heider, Dominik, Sowa, Jan-Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435145/
https://www.ncbi.nlm.nih.gov/pubmed/30913263
http://dx.doi.org/10.1371/journal.pone.0214436

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435145/
https://www.ncbi.nlm.nih.gov/pubmed/30913263
http://dx.doi.org/10.1371/journal.pone.0214436

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