A new computer algorithm has been developed that uses human facial expressions or head movements to identify whether or not they have autism or ADHD. In the past, when doctors diagnosed such disorders, they generally used standard questionnaires or observed the behavior of the subjects. The behavior patterns of people with such disorders are very similar, so the researchers collect the patient's behavioral information and apply it to computer algorithms, so that the computer can help people more accurately observe and diagnose such diseases, the diagnosis The correct rate of autism or ADHD is as high as 96%.
Michel Valstar, a researcher at the University of Nottingham in the UK, and his research team convened 55 adult volunteers to read or listen to stories and answer questions about themselves. The researchers will also do exercises to guide them to do some head exercises to observe them. Attention to the situation. At the end of the observation, these subjects were divided into four categories: autism, ADHD, both, or both. Research shows that people with both autism and ADHD are less likely to raise their eyebrows when they hear surprising news.
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According to Eric Taylor of King's College London, the study can be a good tool to help diagnose such disorders. In addition, regular observation of child behavior in daily life is the best way to detect autism and ADHD early. .
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