New Paper – Improving ascertainment of suicidal ideation and suicide attempt with natural language processing

This new study out in Scientific Reports, led by Dr. Adi Bejan, uses Natural Language Processing (NLP) to improve how well we identify suicidal thoughts and behaviors in healthcare data. Methods relying on diagnostic codes to identify suicidal ideation and suicide attempt in Electronic Health Records (EHRs) at scale are suboptimal because suicide-related outcomes are…

Dr. Walsh a Panelist for NASEM’s Workshop on Innovative Data Science Approaches to Assess Suicide Risk in Individuals, Populations, and Communities

The National Academies of Sciences, Engineering, and Medicine Forum on Mental Health and Substance Use Disorders hosted a public 3-part webinar series on Innovative Data Science Approaches to Assess Suicide Risk in Individuals, Populations, and Communities: Current Practices, Opportunities, and Risks. The public virtual workshop was sponsored by the Office of the Assistant Secretary for…

Dr. Walsh Named a 2022 Chancellor Faculty Fellow at Vanderbilt

Dr. Walsh is one of thirteen faculty members from across Vanderbilt University selected for the 2022 cohort of Chancellor Faculty Fellows. This group is composed of highly accomplished, recently tenured faculty from a wide variety of disciplines and areas of expertise. “Vanderbilt’s faculty drive the pathbreaking research and transformative education that set our University apart,” Chancellor…