Title :
Clinical decision support system for diabetes disease diagnosis using optimized neural network
Author :
Kumar, Manoj ; Sharma, Ashok ; Agarwal, Sankalp
Author_Institution :
IIIT Allahabad, Allahabad, India
Abstract :
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.
Keywords :
ant colony optimisation; data mining; decision support systems; diseases; health care; medical diagnostic computing; neural nets; ant colony optimized neural network; clinical decision support system; diabetes disease diagnosis; diagnosis report; feature selection; health care; information technology; sum-of-squared error; Biological neural networks; Data mining; Decision support systems; Diseases; Neurons; Ant Colony Optimization; Data Mining; Decision Support System; Feature Selection; Neural Network;
Conference_Titel :
Engineering and Systems (SCES), 2014 Students Conference on
Conference_Location :
Allahabad
Print_ISBN :
978-1-4799-4940-3
DOI :
10.1109/SCES.2014.6880051
