Friday, August 31, 2018

Model can more naturally detect depression in conversations

Researchers detail a neural-network model that can be unleashed on raw text and audio data from interviews to discover speech patterns indicative of depression. Given a new subject, it can accurately predict if the individual is depressed, without needing any other information about the questions and answers.

from Top Health News -- ScienceDaily https://ift.tt/2wyZyz8

No comments:

Post a Comment

Scientists discover the brain’s hidden “stop scratching” switch

Scientists have uncovered a hidden “stop-scratching” signal in the nervous system that tells your brain when enough scratching is enough. Th...