Twitter can predict with almost 90% accuracy about the likelihood of you falling ill, say researchers from the University Of Rochester in New York.
Twitter was able to track the outbreak of flu around a certain area by studying 4.4 million tweets from 630,000 users that had the GPS location data.
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Using an algorithm which could perceive the difference between actual sickness and usage of the common word 'sick', researchers were able to plot and predict when people from a certain area were at risk of picking up a flu bug and the good thing is that twitter can inform you about the risk a week in advance.
The algorithm is based on a model that analyses the spread of infectious diseases among a population, based on twitter messages received and concentration of so-called 'unwell' messages in a certain area.
Source: Medindia
Source: Medindia
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