Algorithm predicts when someone is at risk of suicide with 92 percent accuracy - AIVAnet

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This suicide risk-predicting algorithm could quite literally save lives. Sometimes people experiencing suicidal thoughts may alert others in a cry for help. In other instances, suicides can offer tragically few tell-tale clues that would have allowed friends, family, or other individuals to act differently. That is where a new piece of research from Vanderbilt University Medical Center comes into play. Researchers there have developed a machine learning algorithm designed to predict the likelihood of an individual attempting suicide.

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