A Comparison of Natural Language Processing Methods for Automated Coding of Motivational Interviewing-Reference-Cited by-同舟云学术

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A Comparison of Natural Language Processing Methods for Automated Coding of Motivational Interviewing

Published:2016-06 Issue: Volume:65 Page:43-50
ISSN:0740-5472
Container-title:Journal of Substance Abuse Treatment
language:en
Short-container-title:Journal of Substance Abuse Treatment

Author:

Tanana Michael,Hallgren Kevin A.,Imel Zac E.,Atkins David C.,Srikumar Vivek

Publisher

Elsevier BV

Subject

Psychiatry and Mental health,Clinical Psychology,Medicine (miscellaneous),Pshychiatric Mental Health

Reference53 articles.

1. Topic models: A novel method for modeling couple and family text data;Atkins;Journal of Family Psychology,2012

2. Scaling up the evaluation of psychotherapy: Evaluating motivational interviewing fidelity via statistical text classification;Atkins;Implementation Science,2014

3. Agency context and tailored training in technology transfer: A pilot evaluation of motivational interviewing training for community counselors;Baer;Journal of Substance Abuse Treatment,2009

4. Modeling biological processes for reading comprehension;Berant,2014

5. Change talk sequence during brief motivational intervention, towards or away from drinking;Bertholet;Addiction,2010

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2. Automated Behavioral Coding to Enhance the Effectiveness of Motivational Interviewing in a Chat-Based Suicide Prevention Helpline: Secondary Analysis of a Clinical Trial;Journal of Medical Internet Research;2024-08-01

3. Machine Learning–Based Evaluation of Suicide Risk Assessment in Crisis Counseling Calls;Psychiatric Services;2024-07-19

4. Chain-of-Interaction: Enhancing Large Language Models for Psychiatric Behavior Understanding by Dyadic Contexts;2024 IEEE 12th International Conference on Healthcare Informatics (ICHI);2024-06-03

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