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
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Researchers map the brain's self-healing abilities after stroke

A new study sheds light on one of the most severe consequences of stroke: damage to the brain's 'cables'-- the so-called nerve f...