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…

SPECIAL INCENTIVE FOR OUR FANS, EXCLUSIVE OFFER FOR HEALTHYCELL

TALK RADIO – CATCH THE NEWEST EPISODE DAILY
5pm EST 7 days a week, Encore at 11pm EST
& for our Europe Listeners, 9am GMT

PODCAST – ON-DEMAND
on iTunes, Google, iHeart Radio and more

LINK TO LIFE, LIBERTY & PLEASURE SHOW PAGE