Clinical decision support system for diabetes disease diagnosis using optimized neural network

Information Technology is playing a game changing role in life of human being. Healthcare is one of the prime concerns of every human being. This research work is based on diabetes, a chronic disease which is very common in all over the world. A decision support system may help doctors for decision-making and it may also support to an individual to take decision after filling the details of his or her diagnosis report. In this research work, development of a decision support system based on ant colony optimized neural network has been done which is hybrid of feature selection with ant colony neural network. A comparative analysis of ant colony optimized neural network and hybrid ant colony optimized neural network on the basis of sum of squared error is also performed in this research work.