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Using Machine Learning to Predict Features Within Substance Use Disorder Treatment Service Settings That Increase the Likelihood of Positive Treatment Outcomes

Crossref DOI link: https://doi.org/10.1007/s11121-026-01888-1

Published Online: 2026-03-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Becker, Treena https://orcid.org/0000-0002-8575-2126
Gonzalez-Martinez, Alberto https://orcid.org/0000-0002-6706-9569
Funding

Funding for this research was provided by:

Centers for Disease Control and Prevention (NU17CE925009-03-05)

National Science Foundation (HRD-2217242)
License Information

Text and Data Mining valid from 2026-03-03

Version of Record valid from 2026-03-03
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Article History

Received: 4 March 2025

Accepted: 20 February 2026

First Online: 3 March 2026

Declarations

:

: Not applicable.

: Not applicable.

: The authors declare that they have no conflict of interest.

: Not applicable.

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