Utilizing categorical boosting and SHAP to understand key predictors of frequency of use at discharge for completed substance abuse treatments in TEDS-D
- DOI
- 10.1088/3049-477x/ae9bc7
- Published
- 2026-10-07
- Container
- Machine Learning: Health
- Publisher
- IOP Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1088/3049-477x/ae9bc7,
title = {Utilizing categorical boosting and SHAP to understand key predictors of frequency of use at discharge for completed substance abuse treatments in TEDS-D},
author = {C Flynn and S Abad and B Wooton and C Jansen and B Johnson and B Harrison and J Nash and A J Stokes and H Turner},
year = {2026},
journal = {Machine Learning: Health},
doi = {10.1088/3049-477x/ae9bc7},
url = {https://doi.org/10.1088/3049-477x/ae9bc7}
}RIS
TY - JOUR TI - Utilizing categorical boosting and SHAP to understand key predictors of frequency of use at discharge for completed substance abuse treatments in TEDS-D AU - C Flynn AU - S Abad AU - B Wooton AU - C Jansen AU - B Johnson AU - B Harrison AU - J Nash AU - A J Stokes AU - H Turner PY - 2026 JO - Machine Learning: Health DO - 10.1088/3049-477x/ae9bc7 UR - https://doi.org/10.1088/3049-477x/ae9bc7 ER -
APA
Flynn, C., Abad, S., Wooton, B., Jansen, C., Johnson, B., Harrison, B., Nash, J., Stokes, A. J., & Turner, H. (2026). Utilizing categorical boosting and SHAP to understand key predictors of frequency of use at discharge for completed substance abuse treatments in TEDS-D. Machine Learning: Health. https://doi.org/10.1088/3049-477x/ae9bc7
Source records
- crossref · retrieved 2026-11-10T19:01:57.831Z