Data from wearables might be a boon to mental health diagnosis: Study
Depression and anxiety are two of the most common mental health illnesses in the United States, although more than half of those affected are neither identified nor treated
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Depression and anxiety are two of the most common mental health illnesses in the United States, although more than half of those affected are neither identified nor treated
Depression and anxiety are among the most common mental health disorders in the United States, but more than half of people struggling with the conditions are not diagnosed and treated.
A team of researchers from the McKelvey School of Engineering and the School of Medicine at Washington University in St. Louis are using Fitbit data and deep learning to detect depression and anxiety.
In 2010, Gruia-Catalin Roman was an accomplished faculty member in the Department of Computer Science & Engineering at Washington University in Saint Louis, where he had made his home for more than three decades. He was chair of the department, held an...
In 2010, Gruia-Catalin Roman was an accomplished faculty member in the Department of Computer Science & Engineering at Washington University in Saint Louis, where he had made his home for more than three decades.