Mood disorders like depression are common among U.S. adults. Still, such disorders remain challenging for clinicians to diagnose and treat effectively.

A public health researcher at the University at Buffalo is part of a team of scientists that received a National Science Foundation (NSF) grant to use big data to develop a new approach they say will improve the classification of mood disorders, leading to more effective outcomes for psychiatric patients.

Their aim is to use big data to develop a novel methodology and visualization tools to cluster patients with mood disorders.

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