Modified Neural Network Architecture based Expert System for Automated Disease Classification and Detection using PCA Algorithm

摘要

The need of mankind today is ever increasing and it is necessary to support human life with reliable, affordable and sophisticated medical products. One of the areas in which the growth in technology can be fully utilized is the automated disease detection and drug delivery unit that can automatically monitor, diagnose and also provide medication to human being without human intervention. Oral and injection are the predominant methods of drug delivery. Automated disease detection and drug delivery unit that can be used for detection and monitoring of cancer is proposed, designed, modeled and implemented in this work. For the first time, a software reference model for the complete unit as a system is developed and analyzed for its functionality. It is found that the proposed PCA based technique classifies accurately up to 97.67% compared to the earlier technique which was classifying the same data pattern correctly up to 94%, thereby achieving an improvement of more than 4%.