AINotebookcheckabout 1 hour ago
AI Analyzes Old Posts to Detect Depression
2 min read
George Mason University researchers developed an AI method that analyzes old social media posts to identify signs of depression. The system improved precision by 70 percent, rising from 10 to 17 percent, with an F1 score of 27 percent. Despite these gains, the tool remains unsuitable for diagnostic purposes as it cannot reliably identify people with depression.
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