When someone commits suicide, their family is left heartbroken as they search for answers. Why? How come? Suicide is the second-leading cause of death among young people between the ages of 15 and 34 in the U.S., and clinicians have limited tools to identify those most at risk. A new machine-learning technique documented in a paper published in Nature Human Behaviour could help identify those suffering from suicidal thoughts.
Colin Walsh, a data scientist at Vanderbilt University Medical Center, hopes his work in predicting suicide risk will give people the opportunity to ask “what can I do?” while there’s still a chance to intervene. Walsh and his colleagues have created machine-learning algorithms that predict, with unnerving accuracy, the likelihood that a patient will attempt suicide. In trials, results have been 80-90% accurate when predicting whether someone will attempt suicide within the next two years, and 92% accurate in predicting whether someone will attempt suicide within the next week.
A very special episode of Life, Liberty & The Pursuit of Pleasure with personal stories that are shared in the spirit to inform and educate. Co-hosts Jenna Smith, Missy Crutchfield and Linda Martinelli join Malcolm to discuss the emerging technology and pay tribute to the countless lives that were taken too early…
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