A Survey on COVID-19 Disease Detection using Advanced Techniques

Sunil Dalal, Arvind Kumar Tiwari, Jyoti Prakash Singh

2021

Abstract

Coronavirus disease (COVID-19) has become the most dangerous pandemic in worldwide. The World Health Organization (WHO) has declared COVID-19 as an outbreak that has placed a heavy burden on all nations. Health sector has included the help of emerging technology including Machine Learning, Artificial intelli- gence, Deep Learning, Internet of Things, Block chain and etc. to battle and look ahead against the new diseases. In recognizing and recommending the production of a vaccine for COVID-19, various advanced technologies may play a vital role. In this paper, we provide a brief survey on COVID-19 detection of dis- ease based on 75 collected papers. Furthermore, a study on recently used techniques, their limitations and applications is also included in this survey.

Paper Citation

in Harvard Style

Dalal S., Tiwari A. and Singh J. (2021). A Survey on COVID-19 Disease Detection using Advanced Techniques. In Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE, ISBN 978-989-758-544-9, pages 159-164. DOI: 10.5220/0010564500003161

in Bibtex Style

@conference{icacse21,
author={Sunil Dalal and Arvind Kumar Tiwari and Jyoti Prakash Singh},
title={A Survey on COVID-19 Disease Detection using Advanced Techniques},
booktitle={Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE,},
year={2021},
pages={159-164},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010564500003161},
isbn={978-989-758-544-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE,
TI - A Survey on COVID-19 Disease Detection using Advanced Techniques
SN - 978-989-758-544-9
AU - Dalal S.
AU - Tiwari A.
AU - Singh J.
PY - 2021
SP - 159
EP - 164
DO - 10.5220/0010564500003161