Machines can detect depression in a child's speech

A machine learning algorithm can detect signs of anxiety and depression in the speech patterns of young children, potentially providing a fast and easy way of diagnosing conditions that are difficult to spot and often overlooked in young people. If undiagnosed, they can lead to an increased risk of substance abuse and suicide later in life.

Around one in five children suffer from anxiety and depression, collectively known as "internalizing disorders." But because children under the age of eight can't reliably articulate their emotional suffering, adults need to be able to infer their mental state, and recognize potential mental health problems. Waiting lists for appointments with psychologists, insurance issues, and failure to recognize the symptoms by parents all contribute to children missing out on vital treatment.

If a computer had the same accuracy as a mental health professional, would you trust its diagnostic as much as if it were from a human?

Source: https://www.sciencedaily.com/r.../05/190506150126.htm