))
Predicting Opioid Overdoses Post-Prison Release
Manage episode 436675277 series 3519318
Content provided by Annals of Epidemiology. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Annals of Epidemiology or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Dr. Prasad Patil joins us to discuss his article, “Using decision tree models and comprehensive statewide data to predict opioid overdoses following prison release” published in the June 2024 issue (Vol. 94) of Annals of Epidemiology. In this study, the researchers employed decision tree models to predict opioid overdose within 90 days of release from Massachusetts state prisons, as well as identified a variety of factors that were most influential in predicting opioid overdose.
Read the full article here:
https://www.sciencedirect.com/science/article/abs/pii/S1047279724000620
Episode Credits:
- Executive Producer: Sabrina Debas
- Technical Producer: Paula Burrows
- Annals of Epidemiology is published by Elsevier.
Chapters
1. Predicting Opioid Overdoses Post-Prison Release (00:00:00)
2. Behind the Paper (00:20:25)
11 episodes
Share
