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.
Highlights
Be few days, weeks or even months
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
Summary
By the time the patients consult the specialists the diseases. It is the time to develop modern, effective and efficient computer based systems for decision due to which new approaches with the support of computer technology for the diagnosis of diseases is support. The mortality rate and the waiting time to statistical, machine learning, expert system and data see the specialist could be reduced by employing the abstraction (Cheung, 2003). Recent practice for medical computer technology or computer program or software treatment make it mandatory that patients consult developed by emulating human intelligence which specialists for further diagnosis and treatment. A comparative Analysis of all neural networks proved that generalized regression neural network will be the best suitable network in diagnosis of Hepatitis B. GRNN is a very useful tool to perform predictions and comparisons of system performance in practice
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