A Novel Technique to Detect the Hotspots in Swine Flu Effected Regions

Abstract

In present days, healthcare is very essential in human life. The flu (Influenza) tends to spread very rapidly. Influenza is an infectious disease caused by an influenza virus. This is a worldwide infection and causes local or widespread epidemics and pandemics. The most global all over the world spreading virus, known as Swine flu. The Influenza A (H1N1) flu is triggered by means if anyone of several types of swine influenza viruses. So, firstly we have planned to identify who are vulnerable to be effected by the virus and how many patients have died due to swine flu. Since there is a great need to find the hotspots in swine flu affected regions, I was motivated to do research for the identification of hotspots effected more by swine flu. Our exploration centers around this apart of Medical conclusion through studying design through the accumulated records for Swine Flu. Machine learning place key role to identify influenza effected zones, detecting Hotspots and Prioritization Hotspots.