Forecasting alcohol lapse risk up to two weeks in advance using time-lagged machine learning models.

Wyant K, Fronk GE, Yu J, Punturieri CE, Curtin JJ

DOI: 10.1371/journal.pone.0356893
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0356893,
  title = {Forecasting alcohol lapse risk up to two weeks in advance using time-lagged machine learning models.},
  author = {Wyant K and Fronk GE and Yu J and Punturieri CE and Curtin JJ},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0356893},
  url = {https://doi.org/10.1371/journal.pone.0356893}
}

RIS

TY  - JOUR
TI  - Forecasting alcohol lapse risk up to two weeks in advance using time-lagged machine learning models.
AU  - Wyant K
AU  - Fronk GE
AU  - Yu J
AU  - Punturieri CE
AU  - Curtin JJ
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0356893
UR  - https://doi.org/10.1371/journal.pone.0356893
ER  -

APA

K, W., GE, F., J, Y., CE, P., & JJ, C. (2026). Forecasting alcohol lapse risk up to two weeks in advance using time-lagged machine learning models.. PloS one. https://doi.org/10.1371/journal.pone.0356893

Source records

pubmed · retrieved 2026-09-25T08:08:34.066Z