Experts are preparing the social networking site Twitter with an extraordinary feature, enabling it to quickly predict the health of its users and beware all those, whom it doubts will fall sick in next eight days.
Above are the findings of a new study that was run by the researchers from University of Rochester. The team of researchers has already started using the site with the heatmap enabling it to track flu spread from New York.
The experts have already trained the artificial intelligence algorithm of the website to ignore tweets of healthy people, who say they are 'sick' of something etc. The website has been fixed with an efficient system to find those who were really ill.
The expert brains behind the add-on are of Prof Adam Sadilek from the University and his team, who in their analysis noted 4.4 million GPS-tagged Tweets from more than 6,00,000 twitter users in New York City in a single month in 2010.
Regarding the new add-on feature to the twitter, Prof Sadilek said that "Our models enable you to see the spread of infectious diseases, such as flu, throughout a real-life population observed through online social media".
He explained that with the help of the map where the tweets are plotted, they can predict if any user is at high risk of getting ill and at the same time, beware him of the condition.
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