Identification of the risk for liver fibrosis on CHB patients using an artificial neural network based on routine and serum markers

BACKGROUND: Liver fibrosis progression is commonly found in patients with CHB. Liver biopsy is a gold standard for identifying the extent of liver fibrosis, but has many draw-backs. It is essential to construct a noninvasive model to predict the levels of risk for liver fibrosis. It would provide ve...

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Detalles Bibliográficos
Autores principales: Wang, Danan, Wang, Qinghui, Shan, Fengping, Liu, Beixing, Lu, Changlong
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2939639/
https://www.ncbi.nlm.nih.gov/pubmed/20735842
http://dx.doi.org/10.1186/1471-2334-10-251

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2939639/
https://www.ncbi.nlm.nih.gov/pubmed/20735842
http://dx.doi.org/10.1186/1471-2334-10-251

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