Abstract:Post-traumatic stress disorder (PTSD) could have negative effects on the development of children, and its impact can even last into adulthood. However, the traditional diagnostic methods are difficult to quickly, objectively and accurately identify and diagnose PTSD in children. Machine learning, as an emerging method to deal with a large number of variables and data, has gradually been applied to the research of early prediction, recognition and auxiliary diagnosis of PTSD in children. Machine learning, with … Show more
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