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A machine learning approach predicts future risk to suicidal ideation from social media data

Medicine and Health

A machine learning approach predicts future risk to suicidal ideation from social media data

A. Roy, K. Nikolitch, et al.

This groundbreaking study introduces SAIPH, a state-of-the-art algorithm designed to predict suicidal ideation risk using Twitter data. Conducted by a team of experts including Arunima Roy and Zachary A. Kaminsky, the research promises insights into suicide risk behaviors, offering a potential clinical decision tool for screening and monitoring.

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