Tuesday, August 14, 2012

Detecting Depression From How (Not What) You Browse

New submitter FreedomFirstThenPeac writes "Apparently we can diagnose you as depressed if the mechanics of your internet use fit certain patterns. By using a cleverly embedded questionnaire that classifies the subject as depressed, and by using existing net usage data collection to collect features (variables), researchers at the Missouri University of Science and Technology were able to correctly predict the diagnoses of the questionnaire using the net usage data (PDF). I wonder if this could be a new Firefox plug-in, designed to help parents detect depression in their adolescents by tracking the mechanics (not the sites) and automatically emailing them if their ward is showing increasing signs of depression."

Source: http://rss.slashdot.org/~r/Slashdot/slashdotScience/~3/1tdBSG4htUQ/detecting-depression-from-how-not-what-you-browse

uc berkeley harrison barnes brett ratner stevie nicks anchorman capybara duggars

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