AI empowered machine learning and deep learning for combating with covid-19; state of the art contributions, available datasets, challenges and future directions

Sana Hameed; Farrukh Arslan; Munaza Iqbal; Mubashir Ali; Muhammad Umar Haroon; Naveed Imran

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AI empowered machine learning and deep learning for combating with covid-19; state of the art contributions, available datasets, challenges and future directions

Author(s)

Sana Hameed Department of Computer Science and Information Technology, University of Central Punjab,Lahore, Punjab, Pakistan

Farrukh Arslan Department of Electrical Engineering, University of Engineering and Technology,Lahore,Pakistan

Munaza Iqbal Department of Computer Science, GC University,Faisalabad (Sahiwal Campus), Sahiwal, Punjab,Pakistan

Mubashir Ali Department of Software Engineering, Lahore Garrison University,Lahore,Pakistan

Muhammad Umar Haroon Department of Software Engineering, National University of Modern Languages,Islamabad,Pakistan

Naveed Imran Department of Computer Science, University of Central Punjab,Lahore,Pakistan

Abstract

The brand-new coronavirus COVID-19 spread rapidly over the globe and killed plenty of people. The World Health Organization (WHO) has classified COVID-19 as a global pandemic and all possible efforts are made to save human lives. Various governments implement complete and smart lockdowns to reduce COVID-19. For the detection and diagnosis of COVID-19, the conventional Polymerase Chain Reaction (PCR) test is regarded as essential. But an examination of a PCR test is time-consuming, requires resources as well as reports a large number of false negative results. Artificial Intelligence is fast growing technology with unlimited successful implementation with remarkable results in all problematic sectors. There are already several examples of AIenabled Machine Learning (ML) and Deep Learning (DL) being used successfully in the healthcare industry. We have evaluated the most recent and cuttingedge research in this paper. ML and DL-based work for combating COVID-19. We discussed the COVID-19 background with all essentials and presented ML and DL-based systems highlighted by a new hierarchy. Identification and diagnosis of COVID-19 by considering medical images, sound analysis, and textual and non-invasive technologies. Further, we have also tabularized the COVID-19 datasets with their possible implementation. In last, we have listed the current challenges which are faced by ML and DL while combating COVID-19 and future directions for research.

Publication Details

Page(s) 71-79

DOI DOI not available

Published Journal: VFAST Transactions on Software Engineering, Volume: 10, Issue: 3, Year: 2022

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Keywords

machine learning, deep learning, diagnosis, detection, COVID-19, COVID-19, Datasets, Medical imaging, Sound Analysis

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