Predicting COVID-19 patients using deep machine learning

Mahgol Mohammadi


Coronaviruses are a family of viruses that can cause respiratory illness in humans and are diagnosed with laboratory tests, such as RT-PCR and Antigen tests which have limitations. To overcome these limitations, in this study, a model based on deep CNN was designed the identification whether an X-ray image has COVID-19 or does not. We extracted the deep learning feature and analyzed the performance of the CNN model. The Inceptionv3 reached an accuracy and Specificity of 90% in all performance measures. Further studies on a larger scale can confirm the accuracy of these results and use this method to diagnose Covid 19 patients using artificial intelligence in X-ray analysis of patients. Also, we aimed to identify which symptoms, at the time of notification, were associated with a positive RT-PCR result for SARS-CoV-2. The results of our studies didn’t show a significant correlation between these prognostic symptoms.

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