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Journal of Medical Systems
Published in: Journal of Medical Systems 1/2011

01-02-2011 | Original Paper

A Novel Method for Diagnosing Cirrhosis in Patients with Chronic Hepatitis B: Artificial Neural Network Approach

Authors: Mohammad Reza Raoufy, Parviz Vahdani, Seyed Moayed Alavian, Sahba Fekri, Parivash Eftekhari, Shahriar Gharibzadeh

Published in: Journal of Medical Systems | Issue 1/2011

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Abstract

We designed an artificial neural network (ANN) to diagnose cirrhosis in patients with chronic HBV infection. Routine laboratory data (PT, INR, platelet count, direct bilirubin, AST/ALT, AST/PLT) and age were collected from 144 patients. Cirrhosis in these patients was diagnosed by liver biopsy. The ANN’s ability was assessed using receiver-operating characteristic (ROC) analysis and the results were compared with a logistic regression model. Our results indicate that the neural network analysis is likely to provide a non-invasive, accurate test for diagnosing cirrhosis in chronic HBV-infected patients, only based on routine laboratory data.
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Metadata
Title
A Novel Method for Diagnosing Cirrhosis in Patients with Chronic Hepatitis B: Artificial Neural Network Approach
Authors
Mohammad Reza Raoufy
Parviz Vahdani
Seyed Moayed Alavian
Sahba Fekri
Parivash Eftekhari
Shahriar Gharibzadeh
Publication date
01-02-2011
Publisher
Springer US
Published in
Journal of Medical Systems / Issue 1/2011
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-009-9348-8

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