Identification of the risk for liver fibrosis on CHB patients using an artificial neural network based on routine and serum markers
<p>Abstract</p> <p>Background</p> <p>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...
Main Authors: | Wang Danan, Wang Qinghui, Shan Fengping, Liu Beixing, Lu Changlong |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2010-08-01
|
Series: | BMC Infectious Diseases |
Online Access: | http://www.biomedcentral.com/1471-2334/10/251 |
Similar Items
-
MAFLD is Associated with the Risk of Liver Fibrosis and Inflammatory Activity in HBeAg-Negative CHB Patients
by: Chen X, et al.
Published: (2022-03-01) -
Molecular Serum Markers of Liver Fibrosis
by: Tianhui Liu, et al.
Published: (2012-01-01) -
Gamma-glutamyl-transpeptidase to platelet ratio is not superior to APRI,FIB-4 and RPR for diagnosing liver fibrosis in CHB patients in China
by: Rui Huang, et al.
Published: (2017-08-01) -
Non-invasive of liver fibrosis diagnostics: the role of serum markers
by: A. F. Sheptulina, et al.
Published: (2024-03-01) -
Diagnostic value of serum markers of fibrosis in chronic liver diseases
by: E V Vinnitskaia, et al.
Published: (2013-02-01)