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A diagnostic model for cirrhosis in patients with non-alcoholic fatty liver disease: an artificial neural network approach
Background: Timely diagnosis of liver cirrhosis is vital for preventing further liver damage and giving the patient the chance of transplantation. Although biopsy of the liver is the gold standard for cirrhosis assessment, it has some risks and limitations and this has led to the development of new...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Iran University of Medical Sciences
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4313459/ https://www.ncbi.nlm.nih.gov/pubmed/25678995 |