COVID-19 Data Analysis using Chest X-ray

The COVID-19 pandemic has caused large-scale outbreaks in more than 150 countries worldwide, causing massive damage to the livelihood of many people. capacity identify contaminated patients early and get unique treatment is quite possibly primary stride battle against COVID-19. One quickest ways diagnose use radiography radiology images detect disease. Early studies have shown that chest X-rays infected with abnormalities. To from X-ray images, we used various deep learning models based on previous studies. We first compiled a data set 2,815 radiographs public sources. model produces reliable stable results an accuracy 91.6%, Positive Predictive Value 80%, Negative 100%, specificity 87.50%, Sensitivity 100%. It observed CNN-based architecture can COVID19 parameters’ outcomes be further improved by increasing dataset size developing for training model.