ANALYSIS ON PREDICTION OF SWINE FLU USING MACHINE LEARNING ALGORITHMS

The Data mining technique can be used in collaboration With a K-NN classifiers Naïve Bayes Random Forest Support Vector Machine algorithms which used in diagnosing Swine flu disease virus affected across different persons based on their Symptoms. This proposed approach showed some Promising results which may lead to further attempts to utilize information technology for diagnosing virus from which patients are suffering from Swine flu. Here we used K-NN Classification Naïve Bayes Random Forest SVM rules which are easy to interpret. In future we will try to get more the accuracy results for the swine flu disease which helps to find different parameters using different data mining techniques as per suggested by doctors.