veteran suicide mathematics

Predictive Tool Can Help Identify Veteran Patients at Highest Risk for Suicide

A new predictive tool developed by the U.S. Department of Veterans Affairs (VA) uses a series of algorithms to determine the 0.1% of veteran patients at highest risk for suicide. In collaboration with the National Institute of Mental Health, an analytic model was designed to pinpoint high-risk patients based on the whole scope of their records. “Instead of trying to understand relationships between specific risk factors and suicide, we decided to take everything that we might think was related to suicide, put it into a model, and identify the individuals who are at elevated risk,” said John F. McCarthy, director of the VA’s Serious Mental Illness Treatment, Research, and Evaluation Center.

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Article Source: The San Diego Union-Tribune

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