Machine learning and opioid overdoses in Allegheny County
PI: Walid Gellad, MD, MPH
Funding Source: R.K. Mellon Foundation
July 2018 - June 2020, July 2020-December 2023
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Read published results from this work
From: Integrating human services and criminal justice data with claims data to predict risk of opioid overdose among Medicaid beneficiaries: A machine-learning approach, PLoS One, March 18, 2021
Overdose Risk Prediction Algorithms: The Need For A Comprehensive Legal Framework
Eric Hulsey, Tina B. Hershey, Lisa S. Parker, Courtney Kuza, Stephanie Fedro-Byrom, Walid F. Gellad
Health Affairs Forefront, November 22, 2022
Learn about this project in the media
- Richard King Mellon Foundation - Healthy People, Healthy Communities, & Advancing Science
- Center for Pharmaceutical Policy and Prescribing Receives Funding for Two Projects
- CP3 Works to Change the Course of the Opioid Epidemic by Applying Advanced Analytics
- Developing Models to Identify Opioid Overdose Risk: University of Pittsburgh
- National, County Research Partnerships Use AI to Better Predict Opioid Overdose Risk
