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Use of machine learning to examine disparities in completion of substance use disorder treatment

The objective of this work is to examine disparities in the completion of substance use disorder treatment in the U.S. Our data is from the Treatment Episode Dataset Discharge (TEDS-D) datasets from the U.S. Substance Abuse and Mental Health Services Administration (SAMHSA) for 2017–2019. We apply a...

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Detalles Bibliográficos
Autores principales: Baird, Aaron, Cheng, Yichen, Xia, Yusen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506659/
https://www.ncbi.nlm.nih.gov/pubmed/36149868
http://dx.doi.org/10.1371/journal.pone.0275054