  The SARS-CoV2 virus has caused a lot of tribulation to the human population.
Predictive modeling that can accurately determine whether a person is infected
with COVID-19 is imperative. The study proposes a novel approach that utilizes
deep feature extraction technique, pre-trained ResNet50 acting as the backbone
of the network, combined with Logistic Regression as the head model. The
proposed model has been trained on Kaggle COVID-19 Radiography Dataset. The
proposed model achieves a cross-validation accuracy of 100% on the COVID-19 and
Normal X-Ray image classes. Similarly, when tested on combined three classes,
the proposed model achieves 98.84% accuracy.
