[HTML][HTML] Adoption of digital technologies in health care during the COVID-19 pandemic: systematic review of early scientific literature
Background The COVID-19 pandemic is favoring digital transitions in many industries and in
society as a whole. Health care organizations have responded to the first phase of the …
society as a whole. Health care organizations have responded to the first phase of the …
How the COVID-19 pandemic is favoring the adoption of digital technologies in healthcare: a literature review
Background Healthcare is responding to the COVID-19 pandemic through the fast adoption
of digital solutions and advanced technology tools. The aim of this study is to describe which …
of digital solutions and advanced technology tools. The aim of this study is to describe which …
How do we share data in COVID-19 research? A systematic review of COVID-19 datasets in PubMed Central Articles
Objective This study aims at reviewing novel coronavirus disease (COVID-19) datasets
extracted from PubMed Central articles, thus providing quantitative analysis to answer …
extracted from PubMed Central articles, thus providing quantitative analysis to answer …
Convolutional neural network applied to SARS-CoV-2 sequence classification
GBM Câmara, MGF Coutinho, LMD Silva… - Sensors, 2022 - mdpi.com
COVID-19, the illness caused by the severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2) virus belonging to the Coronaviridade family, a single-strand positive-sense …
(SARS-CoV-2) virus belonging to the Coronaviridade family, a single-strand positive-sense …
New proposal of viral genome representation applied in the classification of SARS-CoV-2 with deep learning
LC de Souza, KS Azevedo, JG de Souza… - BMC …, 2023 - Springer
Abstract Background In December 2019, the first case of COVID-19 was described in
Wuhan, China, and by July 2022, there were already 540 million confirmed cases. Due to …
Wuhan, China, and by July 2022, there were already 540 million confirmed cases. Due to …
[PDF][PDF] Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks
Background and Objective The COVID-19 pandemic has caused severe mortality across the
globe, with the USA as the current epicenter of the COVID-19 epidemic even though the …
globe, with the USA as the current epicenter of the COVID-19 epidemic even though the …
NGS data vectorization, clustering, and finding key codons in SARS-CoV-2 variations
J Kim, S Cheon, I Ahn - BMC bioinformatics, 2022 - Springer
The rapid global spread and dissemination of SARS-CoV-2 has provided the virus with
numerous opportunities to develop several variants. Thus, it is critical to determine the …
numerous opportunities to develop several variants. Thus, it is critical to determine the …
A novel training strategy for deep learning model compression applied to viral classifications
Deep learning techniques, such as deep neural networks (DNNs), have been used with
success in many viral classification problems associated with metagenomics, diagnosis of …
success in many viral classification problems associated with metagenomics, diagnosis of …
Utilizing chaos game representation for enhanced classification of SARS-CoV-2 variants with stacked sparse autoencoders
Since the beginning of the COVID-19 pandemic, the World Health Organization (WHO) has
been tracking SARS-CoV-2 mutations. The SARS-CoV-2 consistently mutated throughout …
been tracking SARS-CoV-2 mutations. The SARS-CoV-2 consistently mutated throughout …
Telling a lie: Analyzing the language of information and misinformation during global health events
The COVID-19 pandemic and other global health events are unfortunately excellent
environments for the creation and spread of misinformation, and the language associated …
environments for the creation and spread of misinformation, and the language associated …