AN INTELLIGENT SYSTEM WITH A NOVEL APPROACH FOR DIAGNOSING HEPATITIS VIRUSES USING GENERALIZED REGRESSIONARTIFICIAL NEURAL NETWORK

The most important problem in medicine is the diagnosis of diseases. Medical diagnostics is pretty difficult which is almost done by medical experts. There are two most common problems in automatic diagnostic field. One is selecting the significant parameter set for the perfect diagnostics; the next is designing a steady and powerful algorithm which must not require longer time to run. Nowadays Neural Networks have become a widely used in the field of medical diagnosis. A very good solution could be attained for medical issued by employing neural network algorithms. This diagnosis process must be streamlined and misdiagnosis must be avoided in daily routine, for which artificial intelligence methods, algorithms could be employed. These artificial adaptive learning algorithms are capable of handling diverse types of medical data, also capable of integrating the diverse data into a categorized output. This work analyzed the artificial intelligence application in conventional hepatitis virus diagnosis. By taking into account of the importance of the issues of medical diagnosis, our work investigates the application of an intelligent system based on artificial neural network for decision making for Hepatitis disease. In this work, an expert system with an innovative algorithm using Generalized Regression Neural Network is deployed and implemented for the diagnosis of hepatitis disease. Diagnosis process requires a medical expert in handling the approximation which is not available in the timely fashion. Computer-aided medical diagnosis is essential to assist doctors for making certainty without direct consultation with the medical expertise. Hepatitis disease is a serious liver infection which is influenced by the hepatitis virus. Hepatitis disease is a significant physical issue and the viral hepatitis is one of the most serious types of viral in the world. Mortality rate could be increased by computer aided programs or system designed by software, or software application by imitation medical expert's intelligence which can be used by the normal physician while diagnosing the disease. In such case the help of medical expert is not necessary for the normal physician to take decision in the diagnosis process.