Suicide Risk Classification Program
Every 11 minutes, someone in the US intentionally ends their life. Suicide is the second-leading cause of death for 10- to 34-year-olds. Suicide is the fourth-leading cause of death for those between 35 and 44 and the fifth-leading cause of death for those between the ages of 45 and 54. If we can identify suicide thought markers early, we can have a chance to prevent it.
Thought markers provide insight into what someone is thinking. They include body language, spoken and written words, and vocal tones. They are helpful in many ways—one being revealing a person’s suicidal tendencies.
We use artificial intelligence (AI) to deeply analyze what people say and how they say it. It’s our goal to use specialized data mining techniques to create evidence-based risk assessment tools that can predict suicide early and allow for positive intervention.
Our Aspirations
Our overarching goal is to cure, prevent or radically improve the treatment of pediatric and adolescent mental illness. Through our research, we hope to discover ways to:
- Identify children at high risk for mental illness as early as possible
- Apply evidence-based interventions to prevent suicide
Success in our work will be achieved when the rate of child or adolescent suicide decreases substantially.
