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"Deep learning discovers the complex associations of these variable with mental disorders," said researcher Chenyang Lu, the Fullgraf Professor at the McKelvey School of Engineering and a professor of medicine at the School of Medicine. "Machine learning is our most powerful tool to extract these underlying relationships. Our work provided evidence, based on a large and diverse cohort, that it is possible to detect mental disorders with wearables. The next step is to convince a hospital system or some company to implement it."
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As the healthcare industry continues its evolution to value-based care, it becomes increasingly essential that payers and providers have comprehensive, accurate patient data to support these new …
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