Role of biological data mining and machine learning techniques in detecting and diagnosing the novel coronavirus (COVID-19): a systematic review

AS Albahri, RA Hamid, JK Alwan, ZT Al-Qays… - Journal of medical …, 2020 - Springer
Coronaviruses (CoVs) are a large family of viruses that are common in many animal
species, including camels, cattle, cats and bats. Animal CoVs, such as Middle East …

Utility of artificial intelligence amidst the COVID 19 pandemic: a review

A Bansal, RP Padappayil, C Garg, A Singal… - Journal of Medical …, 2020 - Springer
The term machine learning refers to a collection of tools used for identifying patterns in data.
As opposed to traditional methods of pattern identification, machine learning tools relies on …

Nonlinear neural network based forecasting model for predicting COVID-19 cases

S Namasudra, S Dhamodharavadhani… - Neural processing …, 2023 - Springer
The recent COVID-19 outbreak has severely affected people around the world. There is a
need of an efficient decision making tool to improve awareness about the spread of COVID …

The promise of AI in detection, diagnosis, and epidemiology for combating COVID-19: beyond the hype

M Abdulkareem, SE Petersen - Frontiers in Artificial Intelligence, 2021 - frontiersin.org
COVID-19 has created enormous suffering, affecting lives, and causing deaths. The ease
with which this type of coronavirus can spread has exposed weaknesses of many healthcare …

Global trends in natural biopolymers in the 21st century: a scientometric review

Y Sun, Y Bai, W Yang, K Bu, SK Tanveer… - Frontiers in Chemistry, 2022 - frontiersin.org
Since the 21st century, natural biopolymers have played an indispensable role in long-term
global development strategies, and their research has shown a positive growth trend …

[HTML][HTML] Novel deep learning approach to model and predict the spread of COVID-19

D Ayris, M Imtiaz, K Horbury, B Williams… - Intelligent Systems with …, 2022 - Elsevier
SARS-CoV2, which causes coronavirus disease (COVID-19) is continuing to spread
globally, producing new variants and has become a pandemic. People have lost their lives …

[PDF][PDF] Analysis and Comparison for Innovative Prediction Technique of COVID-19 using Logistic Regression algorithm over Support Vector Machine Algorithm with …

GVS Charan, NS Kumar - Journal of Pharmaceutical Negative …, 2022 - pnrjournal.com
Aim: The main objective of this study is to improve the accuracy of COVID-19 prediction and
evaluation. Materials andMethods: This work depends on the data segregated from Kaggle's …

[PDF][PDF] Health information technology during the COVID-19 epidemic: A review via text mining

M Dastani, A Atarodi - Online Journal of Public Health Informatics, 2022 - ojphi.jmir.org
Background: Due to the prevalence of the COVID-19 epidemic in all countries of the world,
the need to apply health information technology is of great importance. Hence, the study has …

Development of a classifier with analysis of feature selection methods for COVID-19 diagnosis

H Chauhan, K Modi, S Shrivastava - World Journal of Engineering, 2022 - emerald.com
Purpose The COVID-19 pandemic situation is increasing day by day and has affected the
lifestyle and economy worldwide. Due to the absence of specific treatment, the only way to …

How machine learning could be used in clinical practice during an epidemic

C Verdonk, F Verdonk, G Dreyfus - Critical Care, 2020 - Springer
The COVID-19 epidemic is the cause of a crisis that is confronting the healthcare community
with an unprecedented situation: emergency and intensive care units (ICU) are saturated …