Exploring predictors of substance use disorder treatment engagement with machine learning: The impact of social determinants of health in the therapeutic landscape-Reference-Cited by-同舟云学术

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Exploring predictors of substance use disorder treatment engagement with machine learning: The impact of social determinants of health in the therapeutic landscape

Published:2024-09 Issue: Volume:164 Page:209435
ISSN:2949-8759
Container-title:Journal of Substance Use and Addiction Treatment
language:en
Short-container-title:Journal of Substance Use and Addiction Treatment

Author:

Eddie David,Prindle John,Somodi Paul,Gerstmann Isaac,Dilkina Bistra,Saba Shaddy K.,DiGuiseppi Graham,Dennis Michael,Davis Jordan P.

Funder

Center for Substance Abuse Treatment

Substance Abuse and Mental Health Services Administration

National Institutes of Health

National Institute on Alcohol Abuse and Alcoholism

Publisher

Elsevier BV

Reference46 articles.

1. Use of a machine learning framework to predict substance use disorder treatment success;Acion;PLoS One,2017

2. Cognitive deficits predict low treatment retention in cocaine dependent patients;Aharonovich;Drug and Alcohol Dependence,2006

3. Predictors and outcome of aftercare participation of alcohol and drug users completing residential treatment;Arbour;Substance Use and Misuse,2011

4. Use of machine learning to examine disparities in completion of substance use disorder treatment;Baird;PLoS One,2022

5. Association between access to social service resources and cardiometabolic risk factors: A machine learning and multilevel modeling analysis;Berkowitz;BMJ Open,2019

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