Health system data incompletely capture the social risk factors for drug overdose. This study aimed to improve the accuracy of a machine-learning algorithm to predict opioid overdose risk by integrating human services and criminal justice data with health claims data to capture the social determinants of overdose risk in Allegheny County, Pennsylvania, an area heavily affected by the opioid crisis.
Recent Abstracts
The Power of Storytelling: Guidance for the Creation of Testimonials
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Prescribing Psychostimulants for the Treatment of Stimulant Use Disorder: Navigating the Federal Legal…
Enforcement of COTPA in India- current status, challenges and solutions