The potential of artificial intelligence and machine learning approaches to identify mental illness continues to be exciting area of research.
According to a paper presented at the Canadian Conference on Artificial Intelligence, Mashrura Tasnim, PhD student, and Eleni Stroulia, PhD, professor in the department of computing science at University of Alberta, Canada, developed a methodology that combines several machine-learning algorithms to detect depression using acoustic cues.
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