The new virus that emerged in Wuhan, China, in December is deadly and causes a global health emergency. It is uncertain how much the Coronavirus is contagious and deadly. Infections and deaths are continuously rising. 31000 people are infected with the coronavirus in China and 630 people have died.
As coronavirus growing more deadly in China, AI Researchers are applying Machine Learning Techniques on social media, web and other data for the sign or symptoms of the Coronavirus and disease spreading in the world.
The chief innovation officer at Harvard Medical School and expert in data mining of health trends in social media is part of an international team using the social media posts, news reports, data from official health channels and news reports for machine learning for warning other countries than China for the signs of the Coronavirus.
The AI program is looking for social media posts for the symptoms of the virus-like respiratory problems or fever from all the countries other than China where doctors have reported potential cases. Natural Language processing is used as a technique for parsing the posted text on social media.
A company called BlueDot used a similar approach using social media sources to spot Coronavirus in late December before china acknowledged the global health emergency.
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