Machine learning algorithm detects signals of child depression through speech

Anxiety and depression are inherently tricky conditions to diagnose, with clinicians turning to exams and questionnaires to make their assessments. For this reason, the search is on for clearer, more straightforward ways to identify the conditions, and scientists at the University of Vermont believe they have unearthed another with the help of a newly-developed AI algorithm that can detect telltale signals in a subject's speech.

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Category: Health & Wellbeing

Tags:

• Anxiety
• Depression
• Machine Learning
• University of Vermont

from New Atlas (Gizmag) http://bit.ly/2JmnYDT