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A Sentiment Analysis Approach to Predict an Individual's Awareness of the Precautionary Procedures to Prevent COVID-19 Outbreaks in Saudi Arabia.
In International journal of environmental research and public health ; h5-index 73.0
Aljameel Sumayh S, Alabbad Dina A, Alzahrani Norah A, Alqarni Shouq M, Alamoudi Fatimah A, Babili Lana M, Aljaafary Somiah K, Alshamrani Fatima M
2020-12-30
Arabic sentiment analysis, K-nearest neighbor, N-gram, Twitter, machine learning, natural language processing, naïve bayes, support vector machine

Designing a Randomized Trial with an Age Simulation Suit-Representing People with Health Impairments.
In Healthcare (Basel, Switzerland)
Timm Ingo J, Spaderna Heike, Rodermund Stephanie C, Lohr Christian, Buettner Ricardo, Berndt Jan Ole
2020-Dec-30
experimental design, fitness tracker, physical activity, questionnaires

Probabilistic Predictions with Federated Learning.
In Entropy (Basel, Switzerland)
Thorgeirsson Adam Thor, Gauterin Frank
2020-Dec-30
Bayesian deep learning, federated learning, predictive uncertainty, probabilistic machine learning
Development and Validation of an Automated Radiomic CT Signature for Detecting COVID-19.
In Diagnostics (Basel, Switzerland)
Guiot Julien, Vaidyanathan Akshayaa, Deprez Louis, Zerka Fadila, Danthine Denis, Frix Anne-Noëlle, Thys Marie, Henket Monique, Canivet Gregory, Mathieu Stephane, Eftaxia Evanthia, Lambin Philippe, Tsoutzidis Nathan, Miraglio Benjamin, Walsh Sean, Moutschen Michel, Louis Renaud, Meunier Paul, Vos Wim, Leijenaar Ralph T H, Lovinfosse Pierre
2020-Dec-30
COVID-19, artificial intelligence, computed tomography, machine learning, radiomics
Factors associated with worsening oxygenation in patient with non-severe COVID-19 pneumonia.
In Tuberculosis and respiratory diseases
Background :
Methods :
Results :
Conclusion :
Hahm Cho Rom, Lee Young Kyung, Oh Dong Hyun, Ahn Mi Young, Choi Jae-Phil, Kang Na Ree, Oh Jungkyun, Choi Hanzo, Kim Suhyun
2021-Jan-05
COVID-19, Computed tomography, Oxygenation, Pneumonia, artificial intelligence
Artificial Intelligence Model of Drive-Through Vaccination Simulation.
In International journal of environmental research and public health ; h5-index 73.0
Asgary Ali, Valtchev Svetozar Zarko, Chen Michael, Najafabadi Mahdi M, Wu Jianhong
2020-12-31
COVID-19 pandemic, artificial intelligence, discrete event simulation, drive-through, mass vaccination
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