Natural language processing of patient in-session speech to predict brief motivational interviewing alcohol intervention response: an exploratory study

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This exploratory study investigates how natural language processing of patient speech during motivational interviewing sessions predicts alcohol use outcomes in adults with AUD. The research analyzes linguistic features such as change talk, sentiment, and engagement to identify associations with post-intervention drinking metrics like drinks per week and heavy drinking days. The resource is intended for researchers or clinicians interested in the mechanistic links between speech patterns and treatment response.

ID
4100c83ae53f4764
Source org
PubMed Central
Author
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Published
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OA status
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DOI
10.1093/alcalc/agag033
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BibTeX

@article{allodium:4100c83ae53f4764,
  title = {Natural language processing of patient in-session speech to predict brief motivational interviewing alcohol intervention response: an exploratory study},
  journal = {PubMed Central},
  doi = {10.1093/alcalc/agag033},
  url = {https://doi.org/10.1093/alcalc/agag033}
}

RIS

TY  - JOUR
TI  - Natural language processing of patient in-session speech to predict brief motivational interviewing alcohol intervention response: an exploratory study
PB  - PubMed Central
DO  - 10.1093/alcalc/agag033
UR  - https://doi.org/10.1093/alcalc/agag033
ER  -

APA

Natural language processing of patient in-session speech to predict brief motivational interviewing alcohol intervention response: an exploratory study. (n.d.). PubMed Central. https://doi.org/10.1093/alcalc/agag033

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