Development of Diabetes Diagnosis System with Artificial Neural Network and Open Source Environment

An artificial neural network started to be used in medical processes and problems when it was claimed that these processes and problems might be complex in nature and that would be best handled by nonlinear approaches. An artificial neural network has been used and applied in great numbers for medical and pathobiological processes with huge success. It is used in disease processes to represent its every subspecialty. Disease diagnosis is one of the important and highly attentive biomedical areas where an artificial neural network has been used to a great extent. In the proposed work, patient's data was collected from hospital and used in the system design. The proposed work presents an architecture, design and development of the online system for a diabetes diagnosis. The proposed system is designed with an open source development environment which will be useful for people in the Diabetes Diagnosis process.