Twitter Algorithm Predicts When You’ll Get Sick (8 Days In Advance, With 90% Accuracy) [STUDY]
If you hang around or come into contact with a lot of sick people, you’re very likely to fall ill yourself. Common sense, perhaps, but what if we could use social media to predict the likelihood of that happening in advance?
Researchers at the University Of Rochester in New York have used Twitter to track the outbreak of flu through New York, and, using learning model, have been able to determine when healthy people are about to fall ill with an accuracy level of some 90 percent.
The study, undertaken by Adam Sadilek and his team, analysed 4.4
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