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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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| Published in: | PLoS One |
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| Main Authors: | , , , , , , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Public Library of Science
2019
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6435145/ https://ncbi.nlm.nih.gov/pubmed/30913263 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0214436 |
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