Transcription of Predicting Depression via Social Media - microsoft.com
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Predicting Depression via Social Media Munmun De Choudhury Michael Gamon Scott Counts Eric Horvitz microsoft Research, Redmond WA 98052. {munmund, mgamon, counts, Abstract laboratory test for diagnosing most forms of mental illness;. Major Depression constitutes a serious challenge in personal typically, the diagnosis is based on the patient's self- and public health. Tens of millions of people each year suf- reported experiences, behaviors reported by relatives or fer from Depression and only a fraction receives adequate friends, and a mental status examination. treatment. We explore the potential to use Social Media to In the context of all of these challenges, we examine the detect and diagnose major depressive disorder in individu- potential of Social Media as a tool in detecting and predict- als.}
Predicting Depression via Social Media Munmun De Choudhury Michael Gamon Scott Counts Eric Horvitz Microsoft Research, Redmond WA 98052
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