AIMC Topic:
SARS-CoV-2

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Optimised genetic algorithm-extreme learning machine approach for automatic COVID-19 detection.

PloS one Dec 15, 2020
The coronavirus disease (COVID-19), is an ongoing global pandemic caused by severe acute respiratory syndrome. Chest Computed Tomography (CT) is an effective method for detecting lung illnesses, including COVID-19. However, the CT scan is expensive a...
Lung Humans COVID-19 Neural Networks, Computer Support Vector Machine Algorithms Machine Learning Thorax Tomography, X-Ray Computed SARS-CoV-2
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Identification of biological correlates associated with respiratory failure in COVID-19.

BMC medical genomics Dec 11, 2020
BACKGROUND: Coronavirus disease 2019 (COVID-19) is a global public health concern. Recently, a genome-wide association study (GWAS) was performed with participants recruited from Italy and Spain by an international consortium group.
Spain Gene Ontology Humans Genome-Wide Association Study COVID-19 Polymorphism, Single Nucleotide Female Italy SARS-CoV-2 Respiratory Insufficiency Male
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Hybrid-COVID: a novel hybrid 2D/3D CNN based on cross-domain adaptation approach for COVID-19 screening from chest X-ray images.

Physical and engineering sciences in medicine Dec 10, 2020
The novel Coronavirus disease (COVID-19), which first appeared at the end of December 2019, continues to spread rapidly in most countries of the world. Respiratory infections occur primarily in the majority of patients treated with COVID-19. In light...
X-Rays Male COVID-19 Testing Humans Lung COVID-19 Databases as Topic Time Factors Neural Networks, Computer Algorithms Thorax Mass Screening SARS-CoV-2 Aged
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Vital signs assessed in initial clinical encounters predict COVID-19 mortality in an NYC hospital system.

Scientific reports Dec 9, 2020
Timely and effective clinical decision-making for COVID-19 requires rapid identification of risk factors for disease outcomes. Our objective was to identify characteristics available immediately upon first clinical evaluation related COVID-19 mortali...
COVID-19 Retrospective Studies Female SARS-CoV-2 Risk Factors Vital Signs Humans Hospitalization Aged New York City Male Machine Learning Aged, 80 and over Middle Aged Pandemics Predictive Value of Tests Models, Biological
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Detection of Hate Speech in COVID-19-Related Tweets in the Arab Region: Deep Learning and Topic Modeling Approach.

Journal of medical Internet research Dec 8, 2020
BACKGROUND: The massive scale of social media platforms requires an automatic solution for detecting hate speech. These automatic solutions will help reduce the need for manual analysis of content. Most previous literature has cast the hate speech de...
Humans Pandemics Speech Saudi Arabia Social Media Hate COVID-19 Research Design SARS-CoV-2 Deep Learning
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Predicting cryptic ligand binding sites based on normal modes guided conformational sampling.

Proteins Dec 5, 2020
To greatly expand the druggable genome, fast and accurate predictions of cryptic sites for small molecules binding in target proteins are in high demand. In this study, we have developed a fast and simple conformational sampling scheme guided by norm...
Ligands Elasticity Protein Conformation Receptors, Cytoplasmic and Nuclear Area Under Curve Antigens, CD Molecular Dynamics Simulation Hepacivirus Protein Tyrosine Phosphatase, Non-Receptor Type 1 Exportin 1 Protein Binding Sites Coronavirus 3C Proteases Coronavirus Papain-Like Proteases Karyopherins Reproducibility of Results SARS-CoV-2 ROC Curve Computational Biology Antigens, Neoplasm Interleukin-2 Models, Statistical Regression Analysis Humans Machine Learning Algorithms
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StackNet-DenVIS: a multi-layer perceptron stacked ensembling approach for COVID-19 detection using X-ray images.

Physical and engineering sciences in medicine Dec 4, 2020
The highly contagious nature of Coronavirus disease 2019 (Covid-19) resulted in a global pandemic. Due to the relatively slow and taxing nature of conventional testing for Covid-19, a faster method needs to be in place. The current researches have su...
X-Rays Models, Theoretical COVID-19 Testing Artifacts COVID-19 Algorithms Lung Databases, Factual Humans SARS-CoV-2 Time Factors Neural Networks, Computer ROC Curve Image Processing, Computer-Assisted
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A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study.

IEEE journal of biomedical and health informatics Dec 4, 2020
Since its outbreak in December 2019, the persistent coronavirus disease (COVID-19) became a global health emergency. It is imperative to develop a prognostic tool to identify high-risk patients and assist in the formulation of treatment plans. We ret...
Humans COVID-19 Female SARS-CoV-2 Risk Factors Male Deep Learning Models, Theoretical
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M Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging.

IEEE journal of biomedical and health informatics Dec 4, 2020
To counter the outbreak of COVID-19, the accurate diagnosis of suspected cases plays a crucial role in timely quarantine, medical treatment, and preventing the spread of the pandemic. Considering the limited training cases and resources (e.g, time an...
Deep Learning Pneumonia, Viral Humans COVID-19 Tomography, X-Ray Computed SARS-CoV-2
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Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels.

IEEE journal of biomedical and health informatics Dec 4, 2020
Early and accurate diagnosis of Coronavirus disease (COVID-19) is essential for patient isolation and contact tracing so that the spread of infection can be limited. Computed tomography (CT) can provide important information in COVID-19, especially f...
Humans SARS-CoV-2 Male COVID-19 Severity of Illness Index Algorithms Deep Learning Retrospective Studies Tomography, X-Ray Computed Female
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