ANALYSIS ON PREDICTION OF SWINE FLU USING MACHINE LEARNING ALGORITHMS

By Deepika Y.

The Data mining technique can be used in collaboration With a K-NN classifiers, Na ve 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, Na ve 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.

• Format: Paperback
• Language: English
• ISBN: 6202672390
• ISBN13: 9786202672399
• Release Date: June 2020
• Publisher: LAP Lambert Academic Publishing
• Length: 76 Pages
• Weight: 0.27 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"