Why the study?
Correct recognition of psychological disorders is expensive and time-consuming, prompting an investigation into the effectiveness of computerized automated machine learning techniques for identifying stress, anxiety, and depression in students.
Machine learning and computer vision techniques are effective and widely utilized for the automated identification of stress, anxiety, and depression.
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Supports ML integration for student SAD screening; extends evidence on automated psychological assessment.
Singh et al. (2022) studied this question.
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