Penn Today: Linguistic red flags from Facebook posts can predict future depression diagnoses

Penn Today: Linguistic red flags from Facebook posts can predict future depression diagnoses. “In any given year, depression affects more than 6 percent of the adult population in the United States—some 16 million people—but fewer than half receive the treatment they need. What if an algorithm could scan social media and point to linguistic red flags of the disease before a formal medical diagnosis had been made? New research from the University of Pennsylvania and Stony Brook University published in the Proceedings of the National Academy of Sciences shows this is now more plausible than ever.”

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.