AIMC Topic: COVID-19

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WVALE: Weak variational autoencoder for localisation and enhancement of COVID-19 lung infections.

Computer methods and programs in biomedicine May 14, 2022
BACKGROUND AND OBJECTIVE: The COVID-19 pandemic is a major global health crisis of this century. The use of neural networks with CT imaging can potentially improve clinicians' efficiency in diagnosis. Previous studies in this field have primarily foc...
COVID-19 Supervised Machine Learning Humans Lung Pandemics Image Processing, Computer-Assisted
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Current Artificial Intelligence (AI) Techniques, Challenges, and Approaches in Controlling and Fighting COVID-19: A Review.

International journal of environmental research and public health May 12, 2022
SARS-CoV-2 (COVID-19) has been one of the worst global health crises in the 21st century. The currently available rollout vaccines are not 100% effective for COVID-19 due to the evolving nature of the virus. There is a real need for a concerted effor...
Robotics Delivery of Health Care SARS-CoV-2 Artificial Intelligence COVID-19 Humans
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A lightweight CNN-based network on COVID-19 detection using X-ray and CT images.

Computers in biology and medicine May 11, 2022
BACKGROUND AND OBJECTIVES: The traditional method of detecting COVID-19 disease mainly rely on the interpretation of computer tomography (CT) or X-ray images (X-ray) by doctors or professional researchers to identify whether it is COVID-19 disease, w...
Deep Learning X-Rays Tomography, X-Ray Computed SARS-CoV-2 COVID-19 Computers Humans
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COVID-19 Spatio-Temporal Evolution Using Deep Learning at a European Level.

Sensors (Basel, Switzerland) May 11, 2022
COVID-19 evolution imposes significant challenges for the European healthcare system. The heterogeneous spread of the pandemic within EU regions elicited a wide range of policies, such as school closure, transport restrictions, etc. However, the impl...
Humans Pandemics Disease Outbreaks COVID-19 Deep Learning Delivery of Health Care
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Decoding the protein-ligand interactions using parallel graph neural networks.

Scientific reports May 10, 2022
Protein-ligand interactions (PLIs) are essential for biochemical functionality and their identification is crucial for estimating biophysical properties for rational therapeutic design. Currently, experimental characterization of these properties is ...
SARS-CoV-2 Proteins Artificial Intelligence COVID-19 Ligands Humans Neural Networks, Computer
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An Intelligent ECG-Based Tool for Diagnosing COVID-19 via Ensemble Deep Learning Techniques.

Biosensors May 5, 2022
Diagnosing COVID-19 accurately and rapidly is vital to control its quick spread, lessen lockdown restrictions, and decrease the workload on healthcare structures. The present tools to detect COVID-19 experience numerous shortcomings. Therefore, novel...
Humans COVID-19 Electrocardiography Communicable Disease Control Algorithms Deep Learning
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Aspect Based Twitter Sentiment Analysis on Vaccination and Vaccine Types in COVID-19 Pandemic With Deep Learning.

IEEE journal of biomedical and health informatics May 5, 2022
Due to the COVID-19 pandemic, vaccine development and community vaccination studies are carried out all over the world. At this stage, the opposition to the vaccine seen in the society or the lack of trust in the developed vaccine is an important fac...
COVID-19 SARS-CoV-2 Humans Pandemics Vaccination Social Media Sentiment Analysis Deep Learning COVID-19 Vaccines
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Diagnosis of COVID-19 patients by adapting hyper parametertuned deep belief network using hosted cuckoo optimization algorithm.

Electromagnetic biology and medicine May 2, 2022
COVID-19 is an infection caused by recently discovered corona virus. The symptoms of COVID-19 are fever, cough and dumpiness of breathing. A quick and accurate identification is essential for an efficient fight against COVID-19. A machine learning te...
Neural Networks, Computer COVID-19 Algorithms Humans Deep Learning Bayes Theorem
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MHA-CoroCapsule: Multi-Head Attention Routing-Based Capsule Network for COVID-19 Chest X-Ray Image Classification.

IEEE transactions on medical imaging May 2, 2022
The outbreak of COVID-19 threatens the lives and property safety of countless people and brings a tremendous pressure to health care systems worldwide. The principal challenge in the fight against this disease is the lack of efficient detection metho...
COVID-19 SARS-CoV-2 Attention X-Rays Deep Learning Humans Neural Networks, Computer
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Cardiac auscultation predicts mortality in elderly patients admitted for COVID-19.

Hospital practice (1995) Apr 29, 2022
INTRODUCTION: COVID-19 has had a great impact on the elderly population. All admitted patients underwent cardiac auscultation at the Emergency Department. However, to our knowledge, there is no literature that explains the implications of cardiac aus...
Arrhythmias, Cardiac Aged Heart Auscultation Aged, 80 and over Male Female Humans Hospital Mortality Hospitalization COVID-19
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