Stevens Researchers Use AI to Detect Depression


Article Excerpt: Rida Zainub ’20 and Dr. Rajarathnam Chandramouli, Hattrick Chair Professor of Electrical and Computer Engineering, conducted research that could change how depression is detected all over the world. According to Dr. Chandramouli, “depression is a serious global mental health issue. A severe shortage of mental health medical professionals especially in developing countries demands the research and development of technology solutions to address this problem.” Their goal was to use natural language processing in combination with Explainable Artificial Intelligence to analyze text and detect signs of depression. They explain their method to solve this complex problem quite simply.

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Article Source: The Stute