Real-time Covid-19 Detection based on Symptoms using Machine Learning Models

Youssef Mellah, Zakaria Kaddari, Mohammed Ghaouth Belkasmi, Noureddine Rahmoun, Bouchentouf Toumi

2021

Abstract

The rapid spread of Coronavirus has led to the 2019 global coronavirus disease pandemic (COVID-19). In this sense, people suspected of having this virus must know quickly if they are infected, so that they can receive appropriate treatment, isolate themselves and inform people with whom they have been in close contact. This situation has attracted worldwide attention, developing very precise methods for the identification and isolation of patients infected with SARS-CoV-2. However, those methods (like PCR test, chest X-ray and CT scan images... etc.) take time to get the exact result of the patient. In this paper, we propose different classifier methods using Machine Learning, for real-time COVID-19 detection, based only on symptoms. These methods can achieve an accuracy of up to 98.0%, evaluated on a DataSet based on major COVID-19 symptoms according to the World Health Organization (WHO).

Paper Citation

in Harvard Style

Mellah Y., Kaddari Z., Belkasmi M., Rahmoun N. and Toumi B. (2021). Real-time Covid-19 Detection based on Symptoms using Machine Learning Models. In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML, ISBN 978-989-758-559-3, pages 206-210. DOI: 10.5220/0010731100003101

in Bibtex Style

@conference{bml21,
author={Youssef Mellah and Zakaria Kaddari and Mohammed Ghaouth Belkasmi and Noureddine Rahmoun and Bouchentouf Toumi},
title={Real-time Covid-19 Detection based on Symptoms using Machine Learning Models},
booktitle={Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,},
year={2021},
pages={206-210},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010731100003101},
isbn={978-989-758-559-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,
TI - Real-time Covid-19 Detection based on Symptoms using Machine Learning Models
SN - 978-989-758-559-3
AU - Mellah Y.
AU - Kaddari Z.
AU - Belkasmi M.
AU - Rahmoun N.
AU - Toumi B.
PY - 2021
SP - 206
EP - 210
DO - 10.5220/0010731100003101