Coronavirus disease (COVID-19) cases analysis using machine-learning applications

AS Kwekha-Rashid, HN Abduljabbar, B Alhayani - Applied Nanoscience, 2023 - Springer
Today world thinks about coronavirus disease that which means all even this pandemic
disease is not unique. The purpose of this study is to detect the role of machine-learning …

Significant applications of machine learning for COVID-19 pandemic

S Kushwaha, S Bahl, AK Bagha, KS Parmar… - Journal of Industrial …, 2020 - World Scientific
Machine learning is an innovative approach that has extensive applications in prediction.
This technique needs to be applied for the COVID-19 pandemic to identify patients at high …

Machine learning approaches for tackling novel coronavirus (COVID-19) pandemic

MM Rahman, MM Islam, MMH Manik, MR Islam… - SN computer …, 2021 - Springer
Abstract Novel coronavirus (COVID-19) has become a global problem in recent times due to
the rapid spread of this disease. Almost all the countries of the world have been affected by …

A review on COVID-19

T Bhatt, V Kumar, S Pande, R Malik… - Artificial Intelligence and …, 2021 - Springer
Background: Coronavirus is a family of viruses, and they are named coronavirus based on
the crown-like spikes they have on their surface. The word “Corona” is a Latin word that …

Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review

M Khan, MT Mehran, ZU Haq, Z Ullah, SR Naqvi… - Expert systems with …, 2021 - Elsevier
During the current global public health emergency caused by novel coronavirus disease 19
(COVID-19), researchers and medical experts started working day and night to search for …

[PDF][PDF] Analysis, prediction and evaluation of covid-19 datasets using machine learning algorithms

KB Prakash, SS Imambi, M Ismail, TP Kumar… - International …, 2020 - academia.edu
ABSTRACT COVID-19, Corona Virus Diasease-2019, belongs to genus of Coronaviridae. A
virus with no vaccine creating unpredictable havocs in the human lives and financial and …

Machine learning-based research for COVID-19 detection, diagnosis, and prediction: A survey

Y Meraihi, AB Gabis, S Mirjalili, A Ramdane-Cherif… - SN computer …, 2022 - Springer
The year 2020 experienced an unprecedented pandemic called COVID-19, which impacted
the whole world. The absence of treatment has motivated research in all fields to deal with it …

COVID-19-the role of artificial intelligence, machine learning, and deep learning: a newfangled

DN Vinod, SRS Prabaharan - Archives of Computational Methods in …, 2023 - Springer
The absolute previously infected novel coronavirus (COVID-19) was found in Wuhan, China,
in December 2019. The COVID-19 epidemic has spread to more than 220 nations and …

Detection of COVID-19 using deep learning techniques and classification methods

Ç Oğuz, M Yağanoğlu - Information Processing & Management, 2022 - Elsevier
Since the patient is not quarantined during the conclusion of the Polymerase Chain
Reaction (PCR) test used in the diagnosis of COVID-19, the disease continues to spread. In …

Machine and deep learning towards COVID-19 diagnosis and treatment: survey, challenges, and future directions

T Alafif, AM Tehame, S Bajaba, A Barnawi… - International journal of …, 2021 - mdpi.com
With many successful stories, machine learning (ML) and deep learning (DL) have been
widely used in our everyday lives in a number of ways. They have also been instrumental in …