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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...

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Detalles Bibliográficos
Autores principales: Pournik, Omid, Dorri, Sara, Zabolinezhad, Hedieh, Alavian, Seyyed Moayed, Eslami, Saeid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Iran University of Medical Sciences 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4313459/
https://www.ncbi.nlm.nih.gov/pubmed/25678995