SARS-Cov-2 detection using Deep Learning Techniques on the basis of Clinical Reports

The outbreak of COVID-19 Coronavirus (SARS_CoV_2), has created a calamitous situation all around the globe. During this worldwide urgency, scientists, clinicians, and healthcare experts all around the globe are working to search for a technology to support in tackling the situation. Application of Machine-Learning (ML), and Artificial-Intelligence (AI) comes to the rescue from detecting covid infection in chest X Rays to studying the growth and trend of this outbreak. In this paper, we worked on finding ML based method which can be used in the screening of possible infected peoples/patients using their clinical reports. The proposed method takes into consideration a keyword-based approach as a major indication of calculating the probability of having the infection. Conclusion By using ML based approach we can certainly say that speed of screening as well as the accuracy of the results will be improved so that we can shorten the time, which contributes to the spread of the Covid-19 virus.