Monday, 23 February 2009

Wseas Transactions

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Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 32-269
Full Name: Ghumbre Shashikant Uttreshwar
Position: Assistant Professor
Age: ON
Sex: Male
Address: 33, Arcot Road, Saligramam, Chennai 600 093.
Country: INDIA
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E-mail address: shashighumbrephd@gmail.com
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Title of the Paper: An Intelligent System for Hepatitis B Diagnosis Using Logical Inference and Radial Basis Function Networks
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Number of paper pages: 12
Abstract: Medical diagnosis is considered an art regardless of all standardization efforts made, which is greatly due to the fact that medical diagnosis necessitates an expertise in coping with uncertainty simply not found in today's computing machinery. The researchers are encouraged by the advancement in computer technology to develop software to assist doctors in making decision without necessitating the direct consultation with the specialists. The neural network algorithms can possibly give good solutions to medical problems. In this paper, application of artificial intelligence in typical disease Hepatitis B diagnosis has been investigated. In this research, an intelligent system based on logical inference along with a radial basis function network is presented for the diagnosis. An expert system based on logical inference is used to decide what type of hepatitis is possible to appear for a patient, whether it is Hepatitis B or not. Then artificial neural networks wil!
l be used in order to do the predictions regarding hepatitis B. The Radial Basis Function (RBF) network structure trained by Orthogonal Least Square (OLS) algorithm is applied to hepatitis data for predictions. Results obtained show that radial basis function network can be successfully used for diagnosing hepatitis B. The role of effective diagnosis and the advantages of data training on neural networks-based automatic medical diagnosis system are suggested by the outcomes.
Keywords: - Medical Diagnosis; Artificial Intelligence; Neural Networks; Hepatitis B; Radial Basis Function Network; Orthogonal least square; Hepatitis B virus (HBV); Hepatitis B DNA; Spleen Palpable; Spiders; Hepatitis B surface Antigen (AgHBs).
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