New Paper – Ensemble learning to predict opioid-related overdose using statewide prescription drug monitoring program and hospital discharge data in the state of Tennessee

Over 2,000 Tennesseans died in 2019 from overdose – can we predict overdose risk anywhere in the state to guide prevention? Our study on this question is out now in the Journal of the American Medical Informatics Association. Since 2012, Tennessee has participated in a comprehensive Prescription Drug Monitoring Program called the Controlled Substance Monitoring…

New Project – Predicting and Preventing Suicide in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) in the COVID Era

We are pleased to announce a new study beginning in July 2021 which aims to better understand suicidality in patients living with ME/CFS. ME/CFS is a debilitating chronic illness, and previous studies have found suicide risk in those with ME/CFS to be seven times greater than the general population. This study aims to predict and…

Upcoming Panel – The Intersection of Value and AI: Where Machines Can Make a Difference, 5/13/21

Dr. Walsh will be a panelist on an upcoming webinar and Q&A hosted by the Center for Connected Medicine (CCM). The discussion, “The Intersection of Value and AI: Where Machines Can Make a Difference,” will address the future of AI in delivering greater value in health care and will be held 3-4 p.m. ET, Thursday, May…