Detection of Major Symptoms of COVID 19 Delta Variant Using Machine Learning Technique

Abstract

This research is intended as a guide for researchers who want to take part in future research work and current people who want to know the major symptoms of the Covid 19 Delta variant. Machine learning in the health sector helps to detect, study and diagnose different diseases. The primary purpose of this work is to find out the major symptoms of the COVID 19 Delta variant. This research has been conducted, and data has been taken from 1169 Covid patients who were affected with the different variant of the Covid 19. After gathering the data, different classifier algorithms were applied. RandomTree algorithm provides the best result, which tells the major symptoms of Delta variant. By knowing this variant’s symptoms, one will be able to discriminate one person if he is affected by Covid 19 Delta variant or not. The analysis is done with an intention so that machine can save time to discriminate between persons of different vaiant and Covid positive people. It can help the researcher find the vaccine and make any required medicine that will save the day. There are other possibilities and research sectors that can help to fight and find a cure for this virus.