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Automatic detection and localization of COVID-19 pneumonia using axial computed tomography images and deep convolutional neural networks

Polat, Hasan and Ozerdem, Mehmet Sirac and Ekici, Faysal and Akpolat, Veysi

COVID-19 was first reported as an unknown group of pneumonia in Wuhan City, Hubei province of China in late December of 2019. The rapid increase in the number of cases diagnosed with COVID-19 and the lack of experienced ...
Forecasting of medical equipment demand and outbreak spreading based on deep long short-term memory network: the COVID-19 pandemic in Turkey

Koc, Erdinc and Turkoglu, Muammer

The need for healthcare equipment has increased due to the COVID-19 outbreak. Forecasting of these demands allows states to use their resources effectively. Artificial intelligence-based forecasting models play an important ...
Subjective vitality and loneliness explain how coronavirus anxiety increases rumination among college students

Arslan, Gokmen and Yildirim, Murat and Aytac, Mert

We investigated the relationship between coronavirus anxiety and rumination with subjective vitality and loneliness as mediators. The online sample included 356 Turkish young people (M = 22.06,SD = 4.43 years). The analysis ...