Enhancing Accuracy of Disease Prediction of KNN and Euclidean Distance using Hybrid Approach

Abstract

Health monitoring is critical issue associated with now day lifestyle. Lack of time is causing serious issues corresponding to health. Proposed literature focus on this key aspect and provide mechanism to generate accurate predictions corresponding to parameters fetched from dataset. Hybrid approach of K Nearest neighbour and Euclidean distance is used for enhancement in health prediction. For demonstration dataset derived from UCI is utilized. Simulation results suggest considerable improvement over KNN and Euclidean distance mechanism during prediction.