FBSED based automatic diagnosis of COVID-19 using X-ray and CT images
Sign Up to like & getrecommendations! Published in 2021 at "Computers in Biology and Medicine"
DOI: 10.1016/j.compbiomed.2021.104454
Abstract: This work introduces the Fourier-Bessel series expansion-based decomposition (FBSED) method, which is an implementation of the wavelet packet decomposition approach in the Fourier-Bessel series expansion domain. The proposed method has been used for the diagnosis… read more here.
Keywords: covid using; fbsed based; cross validation; diagnosis ... See more keywords
Prediction modelling of COVID using machine learning methods from B-cell dataset
Sign Up to like & getrecommendations! Published in 2021 at "Results in Physics"
DOI: 10.1016/j.rinp.2021.103813
Abstract: Coronavirus is a pandemic that has become a concern for the whole world. This disease has stepped out to its greatest extent and is expanding day by day. Coronavirus, termed as a worldwide disease, has… read more here.
Keywords: machine learning; covid using; modelling covid; prediction modelling ... See more keywords
Modeling the dynamics of COVID-19 using fractal-fractional operator with a case study
Sign Up to like & getrecommendations! Published in 2021 at "Results in Physics"
DOI: 10.1016/j.rinp.2021.105103
Abstract: This research study consists of a newly proposed Atangana–Baleanu derivative for transmission dynamics of the coronavirus (COVID-19) epidemic. Taking the advantage of non-local Atangana–Baleanu fractional-derivative approach, the dynamics of the well-known COVID-19 have been examined… read more here.
Keywords: study; dynamics covid; covid using; modeling dynamics ... See more keywords
Fighting COVID-19 Using Molecular Dynamics Simulations
Sign Up to like & getrecommendations! Published in 2020 at "ACS Central Science"
DOI: 10.1021/acscentsci.0c01236
Abstract: Molecular dynamics simulations revealed a promising immune target on the SARS-CoV-2 spike protein, proposing novel strategies for vaccine development. read more here.
Keywords: covid using; molecular dynamics; using molecular; fighting covid ... See more keywords
Analysis of Microvasculature in Children Recovered from COVID-19 Using Swept-Source OCT/OCTA Technology.
Sign Up to like & getrecommendations! Published in 2022 at "Ocular immunology and inflammation"
DOI: 10.1080/09273948.2022.2094813
Abstract: The choroid is one of the most vascularized regions of the human body. Therefore, various local and systemic physiologic/pathologic conditions and environmental factors have effects on choroidal thickness. read more here.
Keywords: recovered covid; microvasculature children; covid using; analysis microvasculature ... See more keywords
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2020.3036722
Abstract: Objective: The coronavirus disease 2019 (COVID-19) is rapidly spreading inside China and internationally. We aimed to construct a model integrating information from radiomics and deep learning (DL) features to discriminate critical cases from severe cases… read more here.
Keywords: covid using; model; deep learning; disease ... See more keywords
Automated Diagnosis of COVID-19 using Deep Supervised Autoencoder with Multi-view Features from CT Images.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2021.3102584
Abstract: Accurate and rapid diagnosis of coronavirus disease 2019 (COVID-19) from chest CT scans is of great importance and urgency. However, radiologists have to distinguish COVID-19 pneumonia from other pneumonia in a large number of CT… read more here.
Keywords: diagnosis; supervised autoencoder; covid using; deep supervised ... See more keywords
Correcting delayed reporting of COVID‐19 using the generalized‐Dirichlet‐multinomial method
Sign Up to like & getrecommendations! Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13810
Abstract: Abstract The COVID‐19 pandemic has highlighted delayed reporting as a significant impediment to effective disease surveillance and decision‐making. In the absence of timely data, statistical models which account for delays can be adopted to nowcast… read more here.
Keywords: covid using; covid; correcting delayed; reporting covid ... See more keywords
The where and when of COVID-19: Using ecological and Twitter-based assessments to examine impacts in a temporal and community context
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0264280
Abstract: In March 2020, residents of the Bronx, New York experienced one of the first significant community COVID-19 outbreaks in the United States. Focusing on intensive longitudinal data from 78 Bronx-based older adults, we used a… read more here.
Keywords: twitter; covid using; ecological twitter; using ecological ... See more keywords
Analysis of the Mathematical Modelling of COVID-19 by Using Mild Solution with Delay Caputo Operator
Sign Up to like & getrecommendations! Published in 2023 at "Symmetry"
DOI: 10.3390/sym15020286
Abstract: This work investigates a mathematical fractional-order model that depicts the Caputo growth of a new coronavirus (COVID-19). We studied the existence and uniqueness of the linked solution using the fixed point theory method. Using the… read more here.
Keywords: covid using; modelling covid; mathematical modelling; covid ... See more keywords