Thursday, August 30, 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

One tiny mutation may explain how bat viruses become human threats

Scientists found that one tiny genetic change can completely alter how a coronavirus behaves in different species. Comparing SARS-CoV-2 with...