Carnegie Mellon

While a reliable method to accurately identify suicidal patients is missing from medical literature, researchers are continually striving for AI-solutions to predict and prevent suicidal attempts. Suicide is cited as the 10th leading cause of death and is one of three leading causes on the rise, according to the Centers for Disease Control and Prevention (CDC). AI tools are diligently being deployed to address the rising suicide risk. Machine Learning for Identifying Suicidal Thoughts In a recent research, researchers from Vanderbilt University applied machine learning (ML) to overcome the limitations of traditional methods that predict suicide attempts by looking into the electronic health records of adult patients. The outcomes showedRead More →