Analyzing spoken language and 3-D facial expressions to measure depression severity

Researchers at Stanford have recently explored the use of machine learning to measure the severity of depressive symptoms by analyzing people's spoken language and 3-D facial expressions. Their multi-model method, outlined in a paper pre-published on arXiv, achieved very promising results, with an 83.3 percent sensitivity and 82.6 percent specificity.

from News on Artificial Intelligence and Machine Learning https://ift.tt/2Pj5dAF

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