Highlights To provide a prediction study for COVID-19 disease with deep learning application models with laboratory findings rather than X-ray or CT images. To ensure the prediction model for this novel pneumonia.

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Highlights In this study, unlike CNN architectures, COVID-19 was determined from chest X-ray images with a smaller number of layers. More COVID-19, pneumonia, and no-findings images were used than in previous studies. This increases the reliability of the system more. As is known, reducing the size of the image may cause some information in the image to be lost. Given these facts, good classification accuracy has been achieved with capsule networks, even the image size has been reduced to 128 × 128 pixels.

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