AIMC Topic: COVID-19

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The association between vitamin D deficiency and the clinical outcomes of hospitalized COVID-19 patients.

F1000Research Feb 5, 2024
BACKGROUND: Vitamin D deficiency is an emerging public health problem that affects more than one billion people worldwide. Vitamin D has been shown to be effective in preventing and reducing the severity of viral respiratory diseases, including influ...
Vitamin D Prospective Studies Cardiovascular Diseases Vitamin D Deficiency Humans Severity of Illness Index COVID-19
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Scale based entropy measures and deep learning methods for analyzing the dynamical characteristics of cardiorespiratory control system in COVID-19 subjects during and after recovery.

Computers in biology and medicine Feb 1, 2024
COVID-19, known as Coronavirus Disease 2019 primarily targets the respiratory system and can impact the cardiovascular system, leading to a range of cardiorespiratory complications. The current forefront in analyzing the dynamical characteristics of ...
Humans Artificial Intelligence Deep Learning Electroencephalography Entropy COVID-19 Female Male
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Deep learning for real-time multi-class segmentation of artefacts in lung ultrasound.

Ultrasonics Jan 29, 2024
Lung ultrasound (LUS) has emerged as a safe and cost-effective modality for assessing lung health, particularly during the COVID-19 pandemic. However, interpreting LUS images remains challenging due to its reliance on artefacts, leading to operator v...
Artifacts Phantoms, Imaging Humans Deep Learning COVID-19 Ultrasonography Lung
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Psychometric evaluation of the DePaul Symptom Questionnaire-Short Form (DSQ-SF) among adults with Long COVID, ME/CFS, and healthy controls: A machine learning approach.

Journal of health psychology Jan 28, 2024
Long COVID shares a number of clinical features with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), including post-exertional malaise, severe fatigue, and neurocognitive deficits. Utilizing validated assessment tools that accurately and...
SARS-CoV-2 Aged Adult Sensitivity and Specificity Male Middle Aged COVID-19 Post-Acute COVID-19 Syndrome Fatigue Syndrome, Chronic Surveys and Questionnaires Female Psychometrics Humans Machine Learning
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Artificial Intelligence Electrocardiography Detecting Thyrotoxic Periodic Paralysis Following a SARS-CoV-2 Infection.

The American journal of medicine Jan 26, 2024
Electrocardiography Thyrotoxicosis COVID-19 Humans Adult Female Artificial Intelligence Male SARS-CoV-2 Middle Aged
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Diagnostic performance of deep learning models versus radiologists in COVID-19 pneumonia: A systematic review and meta-analysis.

Clinical imaging Jan 26, 2024
PURPOSE: Although several studies have compared the performance of deep learning (DL) models and radiologists for the diagnosis of COVID-19 pneumonia on CT of the chest, these results have not been collectively evaluated. We performed a meta-analysis...
Humans Sensitivity and Specificity Deep Learning Radiologists COVID-19 Tomography, X-Ray Computed SARS-CoV-2
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A Comparison of ChatGPT and Fine-Tuned Open Pre-Trained Transformers (OPT) Against Widely Used Sentiment Analysis Tools: Sentiment Analysis of COVID-19 Survey Data.

JMIR mental health Jan 25, 2024
BACKGROUND: Health care providers and health-related researchers face significant challenges when applying sentiment analysis tools to health-related free-text survey data. Most state-of-the-art applications were developed in domains such as social m...
Health Surveys United States Dissent and Disputes Sentiment Analysis Humans COVID-19 Learning
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iDVEIP: A computer-aided approach for the prediction of viral entry inhibitory peptides.

Proteomics Jan 23, 2024
With the notable surge in therapeutic peptide development, various peptides have emerged as potential agents against virus-induced diseases. Viral entry inhibitory peptides (VEIPs), a subset of antiviral peptides (AVPs), offer a promising avenue as e...
Computer Simulation SARS-CoV-2 Peptides Software COVID-19 Virus Internalization Antiviral Agents Computational Biology COVID-19 Drug Treatment Humans Machine Learning
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Application of multi-gene genetic programming to the prognosis prediction of COVID-19 using routine hematological variables.

Scientific reports Jan 23, 2024
Identifying patients who may develop severe COVID-19 has been of interest to clinical physicians since it facilitates personalized treatment and optimizes the allocation of medical resources. In this study, multi-gene genetic programming (MGGP), as a...
Humans Artificial Intelligence Blood Coagulation Tests Retrospective Studies Female COVID-19 Male Prognosis
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Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers.

Scientific reports Jan 20, 2024
The COVID-19 influenza emerged and proved to be fatal, causing millions of deaths worldwide. Vaccines were eventually discovered, effectively preventing the severe symptoms caused by the disease. However, some of the population (elderly and patients ...
Hydrolases Prognosis Aged COVID-19 Humans Algorithms Biomarkers Artificial Intelligence
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