ommand, product recommendation and medical diagnosis. The detection of severe acute respiratory
syndrome corona virus 2 (SARS CoV-2), which is responsible for corona virus disease 2019 (COVID-19),
using chest X-ray images has life-saving importance for bothpatients and doctors. In addition, in countries
that are unable to purchase laboratory kits for testing, this becomes even more vital. In this study, we aimed
to present the use of deep learning for the high-accuracy detection of COVID-19 using chest X-ray images.
Publicly available X-ray images were used in the experiments, which involved the training of deep learning
and machine learning classifiers. Experiments were performed using convolutional neural networks and
machine learning models. Images and statistical data were considered separately in the experiments to
evaluate the performances of models, and eightfold cross-validation was used. A mean accuracy of 98.50%.
A convolutional neural network without pre-processing and with minimized layers is capable of detecting
COVID- 19 in a limited number of, and in imbalanced, chest X-rayimages.