AIMC Topic: COVID-19

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COVID-19 Related Sentiment Analysis Using State-of-the-Art Machine Learning and Deep Learning Techniques.

Frontiers in public health Jan 14, 2022
The coronavirus disease 2019 (COVID-19) pandemic has influenced the everyday life of people around the globe. In general and during lockdown phases, people worldwide use social media network to state their viewpoints and general feelings concerning t...
Humans Machine Learning Sentiment Analysis COVID-19 Algorithms SARS-CoV-2 Deep Learning Communicable Disease Control
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Three-Terminal Ovonic Threshold Switch (3T-OTS) with Tunable Threshold Voltage for Versatile Artificial Sensory Neurons.

Nano letters Jan 13, 2022
Inspired by information processing in biological systems, sensor-combined edge-computing systems attract attention requesting artificial sensory neurons as essential ingredients. Here, we introduce a simple and versatile structure of artificial senso...
COVID-19 Humans SARS-CoV-2 Neural Networks, Computer Sensory Receptor Cells
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Intelligent Diagnosis Method for New Diseases Based on Fuzzy SVM Incremental Learning.

Computational and mathematical methods in medicine Jan 13, 2022
The diagnosis of new diseases is a challenging problem. In the early stage of the emergence of new diseases, there are few case samples; this may lead to the low accuracy of intelligent diagnosis. Because of the advantages of support vector machine (...
SARS-CoV-2 Diagnosis, Computer-Assisted Computational Biology Humans COVID-19 Artificial Intelligence Algorithms Support Vector Machine Fuzzy Logic
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Automatic coronavirus disease 2019 diagnosis based on chest radiography and deep learning - Success story or dataset bias?

Medical physics Jan 12, 2022
PURPOSE: Over the last 2 years, the artificial intelligence (AI) community has presented several automatic screening tools for coronavirus disease 2019 (COVID-19) based on chest radiography (CXR), with reported accuracies often well over 90%. However...
Humans Deep Learning Radiography Bias Artificial Intelligence COVID-19 SARS-CoV-2
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PRCTC: a machine learning model for prediction of response to corticosteroid therapy in COVID-19 patients.

Aging Jan 12, 2022
Corticosteroid has been proved to be one of the few effective treatments for COVID-19 patients. However, not all the patients were suitable for corticosteroid therapy. In this study, we aimed to propose a machine learning model to forecast the respon...
China Logistic Models Treatment Outcome COVID-19 Drug Treatment Adrenal Cortex Hormones Aged Male Middle Aged Female SARS-CoV-2 COVID-19 Humans Algorithms Neural Networks, Computer Retrospective Studies Machine Learning
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Multi-Regional Modeling of Cumulative COVID-19 Cases Integrated with Environmental Forest Knowledge Estimation: A Deep Learning Ensemble Approach.

International journal of environmental research and public health Jan 10, 2022
Reliable modeling of novel commutative cases of COVID-19 (CCC) is essential for determining hospitalization needs and providing the benchmark for health-related policies. The current study proposes multi-regional modeling of CCC cases for the first s...
Pandemics Models, Statistical COVID-19 SARS-CoV-2 Humans Forecasting Deep Learning
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Machine learning for emerging infectious disease field responses.

Scientific reports Jan 10, 2022
Emerging infectious diseases (EIDs), including the latest COVID-19 pandemic, have emerged and raised global public health crises in recent decades. Without existing protective immunity, an EID may spread rapidly and cause mass casualties in a very sh...
COVID-19 SARS-CoV-2 Risk Factors Humans Machine Learning Pandemics Hospitalization Severity of Illness Index Public Health Hospital Mortality Logistic Models Models, Theoretical Communicable Diseases, Emerging International Classification of Diseases Preventive Medicine
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Predicting SARS-CoV-2 infection duration at hospital admission:a deep learning solution.

Medical & biological engineering & computing Jan 7, 2022
COVID-19 cases are increasing around the globe with almost 5 million of deaths. We propose here a deep learning model capable of predicting the duration of the infection by means of information available at hospital admission. A total of 222 patients...
Hospitals Deep Learning SARS-CoV-2 Hospitalization Humans COVID-19
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CXR-RefineDet: Single-Shot Refinement Neural Network for Chest X-Ray Radiograph Based on Multiple Lesions Detection.

Journal of healthcare engineering Jan 7, 2022
The workload of radiologists has dramatically increased in the context of the COVID-19 pandemic, causing misdiagnosis and missed diagnosis of diseases. The use of artificial intelligence technology can assist doctors in locating and identifying lesio...
Artificial Intelligence Pandemics COVID-19 Tomography, X-Ray Computed SARS-CoV-2 X-Rays Humans Neural Networks, Computer
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A Novel Framework Based on Deep Learning and ANOVA Feature Selection Method for Diagnosis of COVID-19 Cases from Chest X-Ray Images.

Computational intelligence and neuroscience Jan 7, 2022
. The new coronavirus disease (known as COVID-19) was first identified in Wuhan and quickly spread worldwide, wreaking havoc on the economy and people's everyday lives. As the number of COVID-19 cases is rapidly increasing, a reliable detection techn...
Deep Learning Analysis of Variance X-Rays COVID-19 SARS-CoV-2 Humans
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