Abstract:Background: Depression is a burdensome, recurring mental health disorder with high prevalence. The traditional detection of depression relies on structured interviews and questionnaires, which is labor-intensive and time-consuming. Also, the detection results are affected by subjective factors such as the subject's honesty and the psychologists' experiences. It lacks objective and quantitative metrics.Methods: To solve the above problems, we develop a convenient and objective system to detect depression and it… Show more
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