Health IT Analytics May 15, 2024
Using an AI-driven, language-based mental health assessment framework, researchers could accurately assess depression and anxiety rates at the county level.
Researchers from Stony Brook University, Stanford University and the University of Pennsylvania have developed an AI-based system to track rates of depression and anxiety using data from social media posts, according to a recent study published in npj Digital Medicine.
The research team emphasized that depression and anxiety are major contributors to poor mental health for Americans. The ongoing mental health crisis is a significant driver of adverse outcomes like suicide and opioid-related deaths, spurring increased efforts to measure indicators of mental health.
The researchers further noted that traditional initiatives to assess mental health in populations entails using phone-based surveys...
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