Prediction of Covid-19 cases using Machine Learning

Sounak Datta; Arka Sarkar; Iman Saha; Subir Baidya; Dr. Dharmpal Singh; Dr. Sudipta Sahana

Prediction of Covid-19 cases using Machine Learning

Authors: Sounak Datta, Arka Sarkar, Iman Saha, Subir Baidya, Dr. Dharmpal Singh, Dr. Sudipta Sahana

Unique Paper ID: 151519
Volume: 8
Issue: 1
PageNo: 258-263

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 doesnâ€™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 doesnâ€™t have to go thorugh sever symptoms like difficulty in breathing and does not spread the virus to others.

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Cite This Article

ISSN: 2349-6002
Volume: 8
Issue: 1
PageNo: 258-263

Prediction of Covid-19 cases using Machine Learning

Available:https://ijirt.org/Article?manuscript=151519

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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