Prediction of Covid-19 cases using Machine Learning
Author(s):
Sounak Datta, Arka Sarkar, Iman Saha, Subir Baidya, Dr. Dharmpal Singh, Dr. Sudipta Sahana
Keywords:
COVID-19 , SARS-CoV-2 , Machine Learning , Data Analysis , Data Preprocessing , Feature Engineering.
Abstract
Nowadays everyone is being effected from covid-19, In a country with such a huge population like India it is not very easy to test every individual due to shortage of medical kit availiability and everyone doesn’t have sufficient amount of money and resource . In this paper an effort has been made to design a simple system of detecting Covid-19 based on the symptoms using machine learning. Traditional and ensembled machine learning classifiers have been used, Logistic regression and Decision Tree Classifier is one of them . Logistic Regression showed better results than other ML algorithms by having nearly 97% testing accuracy . A Website was designed by which the users can select the symptoms (Y/N) very easily and also get the result depending on their inputs within a second . The framework made by us can be used, to prioritize testing for covid-19 when testing resources are not sufficient.This system can be used for early detection of covid-19 cases so that the person doesn’t have to go thorugh sever symptoms like difficulty in breathing and does not spread the virus to others.
Article Details
Unique Paper ID: 151519

Publication Volume & Issue: Volume 8, Issue 1

Page(s): 258 - 263
Article Preview & Download


Share This Article

Conference Alert

ICM - STEP

International conference on Management, Science, Technology, Engineering, Pharmact and Humanities.

Go To Issue



Call For Paper

Volume 7 Issue 9

Last Date 25 February 2020

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies