Connectionist Expert System to Diagnose Neck and Arm Pain

S. Thamarai Selvi

doi:10.14429/dsj.49.3829

S. Thamarai Selvi Manonmaniam Sundaranar University, Tirunelveli.

DOI: https://doi.org/10.14429/dsj.49.3829

Keywords: Neurophysiology, Physiology, Medical sciences

Abstract

A connectionist expert system (CES) called BIONET aimed at assisting physicians in the diagnosis of diseases, such as neck and arm pain has been proposed. BIONET is an artificial network or connectionist network model capable of classifying diseases. Need for the development of CES for defence personnel has been discussed: BIONET is a feedforward three layer neural network with one hidden layer. The input, layer has been designated as stimulus layer, the hidden layer as receptor layer and output layer ag cortical layer. The sequential connections with spatial orientation have been maintained between stimulus layer and receptor layer for each specific factor. Parallel connections are established only at the cortical layer. Direct firing and facilitatory and inhibitory mechanisms are adhered to the neurophysiology of human nervous system. An algorithm for training on BIONET is also given. BIONET is simulated on a digital computer with training samples of patients collected from various hospitals in Tamil Nadu to diagnose neck and arm pain,diseases for testing purpose.

Author Biography

S. Thamarai Selvi, Manonmaniam Sundaranar University, Tirunelveli.

Mrs S Thamarai Selvi obtained her BE (Mechanical Engineering) form Alagappa Chettiar College of Engineering and Technology, Kara~kudi and ME (Computer Science & Engg) from Government College of Technology, Coimbatore with first rank. She is a member of the Boards of Studies (PG & UG) of M.S.University, Tirunelveli, and Sri. Parasakthi College (Autonomous), Courtalam. She has completed a UGC project titled 'Study of signs and symptoms for neck and arm pain and input design for neural network'.Since 1994, she has been working as a Reader in the Department of Computer Science, Manonmaniam Sundaranar University, Tirunelveli. Her area of research include artificial neural network. She has presentedmore than 10 papers in national/international conferences. She is a life member of the Computer Society of India (CSI), Indian Society for Technical Education (ISTE) and Institution of Engineers (IE).She is co-author of the book titled Engineering Drawing in First Angle Projection.

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