Corona Virus Classification Using Machine Learning Technique in the Context of Bangladesh

Abstract

The covid-19 pandemic has spread to 221 countries and regions of the world, significantly affecting the global economy. Since the virus has been growing exponentially, even the developed countries have been unable to contain its spread. As a result, people are dying in the affected areas at an alarming rate. We can barely think how deadly and highly contagious disease will turn if it spreads from a moderate to a strong category in Bangladesh. This paper represent classification of corona virus based on symptoms and actions. The virus latches its spiky surface proteins to receptors on healthy cells mostly in lungs. The body does not recognize the pathogens so that immune response being triggered by the virus which can cause inflammation. Around 80% of people with corona virus recover without any special treatment within 2weeks mostly. For them, this is nothing but flu like symptoms. But those who are elder and having many more disease might feel difficulty in breathing, low level of oxygen in blood, lung injuries and pneumonia while effected by corona virus. Sometimes the virus can create life threatening situation as it clear the body’s immune reaction and lowering the oxygen level in blood.