Development and validation of an overdose risk prediction tool using prescription drug monitoring program data-Reference-Cited by-同舟云学术

Development and validation of an overdose risk prediction tool using prescription drug monitoring program data

Published:2023-05 Issue: Volume:246 Page:109856
ISSN:0376-8716
Container-title:Drug and Alcohol Dependence
language:en
Short-container-title:Drug and Alcohol Dependence

Author:

Gellad Walid F.,Yang Qingnan,Adamson Kayleigh M.,Kuza Courtney C.,Buchanich Jeanine M.,Bolton Ashley L.,Murzynski Stanley M.,Goetz Carrie Thomas,Washington Terri,Lann Michael F.,Chang Chung-Chou H.,Suda Katie J.,Tang Lu

Funder

Government of South Australia

Centers for Disease Control and Prevention

Pennsylvania Department of Health

U.S. Department of Health and Human Services

University of Pittsburgh

Publisher

Elsevier BV

Subject

Pharmacology (medical),Psychiatry and Mental health,Pharmacology,Toxicology

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1. PROVIDENT: Development and Validation of a Machine Learning Model to Predict Neighborhood-level Overdose Risk in Rhode Island;Epidemiology;2024-01-02

2. A call to develop opioid risk assessment programs for implementation in the pharmacy setting;Journal of the American Pharmacists Association;2023-10