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Using Big Data to Predict Illness


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A recent study analyzed 4.4million tweets from 630,000 users during an outbreak of flu in the city. The result? Analysts were able to predict, eight days in advance, whether people in Manhattan were at risk of getting flu. The study had an accuracy of 90%. SAP is a proud sponsor of "The Human Face of Big Data", a fascinating look at the affect that Big Data has on humanity. To learn more about this and other stories in the book:

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