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Prediction of significant fibrosis in chronic hepatitis C patients by artificial neural network analysis of clinical factors

โœ Scribed by F. Piscaglia; A. Cucchetti; A. Orlandini; E. Sagrini; A. Gianstefani; C. Crespi; G. Pelosi; M.A. Valli; L. Sacchelli; C. Ferrari; L. Bolondi


Book ID
119228527
Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
66 KB
Volume
39
Category
Article
ISSN
1590-8658

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Prediction of significant fibrosis in HB
โœ Min-De Zeng; Lun-Gen Lu; Yi-Min Mao; De-Kai Qiu; Ji-Qiang Li; Mo-Bin Wan; Cheng- ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 147 KB ๐Ÿ‘ 2 views

A model was constructed consisting of clinical and serum variables to discriminate between hepatitis B e antigen (HBeAg)-positive chronic hepatitis B (CHB) patients with and without significant fibrosis (stages 2-4 vs. stages 0-1). Consecutive treatment-naive CHB patients who underwent liver biopsy