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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...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Materias: | |
| 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 |