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Identifying high-dose opioid prescription risks using machine learning: A focus on sociodemographic characteristics

Year: 2025

Type: article

Study design: Observational Study

Source: Journal of Opioid Management

DOI: 10.5055/jom.0924

Authors: Olabode B. Ogundele, Butros M. Dahu, Praveen Rao, Xing Song, Timothy Haithcoat, Mutiyat Hameed, Douglas Burgess, Tracy Greever-Rice, Mirna Becevic

Institutions: University of Missouri, University of Missouri–Kansas City

Language: English

Topic: Opioid Use Disorder Treatment

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Reduced inequalities

Open Access status: closed

OpenAlex ID: W4409692960

FWCI: 0.849

Cites:

Cited by: 1

Related to: 10