Soft computing based expert system for Hepatitis and liver disorders

The main objective of this research work is to develop an expert system for the diagnosis and detection of Hepatitis and liver disorders based on various Artificial Neural Networks models. In this research work Artificial Neural Networks models like Back Propagation Algorithm, Probabilistic Neural Networks, Competitive learning Networks, Learning vector quantization and Elman Networks have been used for detection and diagnosis of Hepatitis and liver disorders. The various networks developed with the help of MATLAB. Required data has been chosen from trusty machine learning data base (UCI). This system in comparison with other traditional diagnostic systems is faster, more reliable and more accurate. One can use this system as a specialist assistant or for training medicine students.