Generalized Regression Neural Network Based Expert System for Hepatitis B Diagnosis

Abstract

Hepatitis B is a potentially life-threatening liver infection caused by the hepatitis B virus. The virus interferes with the function of the liver while replicating in hepatocytes. It is a major global health problem and the most serious type of viral hepatitis. Chronic liver disease is caused by viral hepatitis and putting people at high risk of death from cirrhosis of the liver and liver cancer. Medical information available is extensive and which is utilized by the clinical specialists. The ranging of information is from details of clinical symptoms to various types of biochemical data. Information provided by each data is evaluated and assigned to a particular pathology during the diagnostic process. Artificial intelligence methods especially computer aided diagnosis and artificial neural networks can be employed to streamline the diagnostic process. These adaptive learning algorithms can handle diverse types of medical data and integrate them into categorized outputs. Artificial neural networks are finding many uses in the medical diagnosis application. In this study we have proposed a Generalized Regression Neural Network (GRNN) based expert system for the diagnosis of the hepatitis B virus disease. The system classifies each patient into infected and non-infected. If infected then how severe it is in terms of intensity rate.

A Bayesian Hau-Kashyap Approach for Hepatitis Disease Detection

“…We can get m from the result of Eq. (5). mP ðÞ is called basic possibility assignment value, which presents the level of trust to proposition P. Let R i , Z j be their sets of focal elements.…”

“…Hepatitis B is primarily found in the liver. Researches have been done through methods for diagnosis of hepatitis [3,4,5]. Bayesian approaches are successfully applied to a variety of problems [6,7,8]; recently, several studies have been conducted and have focused on medical diagnosis.…”

“…Neshat et al [10] describes the combination of two methods of particle swarm optimization, and case-based reasoning has been used to diagnose hepatitis. Mahesh et al [5] proposed a generalized regression neural network-based expert system for the diagnosis of the hepatitis B virus disease. The system classifies each patient into infected and noninfected.…”

A New Family of Generalized Gamma Distribution and Its Application

“…Sattayatham and Talangtam (2012) found the infinite mixture Lognormal distributions for reducing the problem of the number of components and fitting of truncated and/or censored data. Recently, There are many researchers have applied in various field such as Mahesh et al (2014) proposed a generalized regression neural network for the diagnosis of the hepatitis B virus diease and Biswas et al (2014) used the networks of the present day communication systems, frequently flood or water logging, sudden failure of one or few nodes in generalized real time multigraphs.…”

Classification of Digital Images Using Fusion Elevated Order Classifier in Wavelet Neural Network

“…The SDSP learning mechanism is used to develop the network changes being observed in connection weights that extracts the spatio-temporal spike data clusters during both the levels of training and recall. An expert system called the generalized regression neural network was presented (Mahesh et al, 2014) for the diagnosis of hepatitis B virus related diseases.…”