Center

Decoding Mental Health

Our Research

The goal of our research is to create real-time mental health trajectories by combining natural language processing and AI techniques with a high-performance computing environment.

Research shows that all neurological and psychiatric diseases are interconnected. Our work acknowledges these differences by including this interconnectedness for use by our computational machines.

We have created unique software that learns from unstructured data (written texts or spoken words) to identify key features described in the medical record and other data. For example, we use machine learning to decode suicide notes and identify epilepsy neurosurgery candidates earlier in the disease process. More recently, we are focusing on earlier identification of anxiety, depression, suicide and school violence. For this work, we rely on clinical, environmental and social determinants of health data.

Research By the Numbers

Our scientists have been conducting groundbreaking research for more than 20 years. Their findings have been published in dozens of top journals and their technology has been patented around the world.