Using Artificial Neural Network to Predict Cirrhosis in Patients with Chronic Hepatitis B Infection with Seven Routine Laboratory Findings

Myron Levin; Franklin Kim; Amy Warner; WanJu Park; Haeok Lee

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Using Artificial Neural Network to Predict Cirrhosis in Patients with Chronic Hepatitis B Infection with Seven Routine Laboratory Findings

Author(s):

Myron Levin,

Franklin Kim,

Amy Warner,

WanJu Park,

Haeok Lee^1,*

1College of Nursing & Health Sciences, University of Massachusetts Boston, Boston, MA, USA

Hepatitis Monthly:Vol. 8, issue 2; 271-275

Published online:Dec 31, 2009

Article type:Research Article

Received:Nov 09, 2008

Accepted:Jul 17, 2009

How to Cite:Levin M, Kim F, Warner A, Park W, Lee H. Using Artificial Neural Network to Predict Cirrhosis in Patients with Chronic Hepatitis B Infection with Seven Routine Laboratory Findings.Hepat Mon.2009;8(2):271-275.

Abstract

Background and Aims: Chronic liver diseases could lead to cirrhosis and relatedcomplications. Histological diagnosis by liver biopsy has long been the goldstandard for assessing the degree of fibrosis and diagnosis of cirrhosis, but it is aninvasive procedure with inherent risk and sampling variability. The aim of this study was to assess the ability of the artificial neural network (ANN) to predict the presence or absence of cirrhosis in patients with chronic hepatitis B by using routine laboratory findings.

Methods: 114 chronic hepatitis B patients who were admitted between 1996 and 2006 at Loghman Hakim hospital and the Tehran Hepatitis Center were evaluated. The disease was confirmed by hepatitis B virus (HBV) DNA, liver biopsies, and biochemistry values, which were obtained from all of patients. Back propagation ANN analyses were carried out by training the networks with the data. The patients were divided into two groups. The first group (92 patients) included two thirds of the cirrhotic patients (12 patients) and two thirds of the non-cirrhotic patients (80 patients) in a randomized rout.

Results: Ascitis, edema, pruritus, splenomegaly, and hepatomegaly were present in 26.3%, 31.6%, 21.1%, 63.2%, and 0% of cirrhotic patients, respectively, and 0%, 0%, 3.2%, 2.4%, and 0.8% of non-cirrhotic patients, respectively. The sensitivity, specificity, and positive and negative predictive ANN values in comparison with liver biopsy in the diagnosis of cirrhotic patients due to chronic HBV were 71.43%, 84.45%, 71.43%, and 95%, respectively.

Conclusions: In chronic hepatitis B patients, if the ANN value of certain laboratory manifestations is negative, there will be a 95% chance of having a negative liver biopsy.

Keywords

Hepatitis B Virus

Chronic Hepatitis

Cirrhosis

Artificial Neural Network

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Author(s):

Myron Levin:[PubMed][Scholar]
Franklin Kim:[PubMed][Scholar]
Amy Warner:[PubMed][Scholar]
WanJu Park:[PubMed][Scholar]
Haeok Lee:[PubMed][Scholar]

Official Journal of Research Center for Gastroenterology and Liver Diseases

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Using Artificial Neural Network to Predict Cirrhosis in Patients with Chronic Hepatitis B Infection with Seven Routine Laboratory Findings

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