Predicting alcohol dependence treatment outcomes: a prospective comparative study of clinical psychologists versus ‘trained’ machine learning models-Reference-Cited by-同舟云学术

Predicting alcohol dependence treatment outcomes: a prospective comparative study of clinical psychologists versus ‘trained’ machine learning models

Published:2020-03-26 Issue:11 Volume:115 Page:2164-2175
ISSN:0965-2140
Container-title:Addiction
language:en
Short-container-title:Addiction

Author:

Symons Martyn¹²³^ORCID,Feeney Gerald F. X.¹⁴,Gallagher Marcus R.⁵^ORCID,Young Ross McD.¹⁶^ORCID,Connor Jason P.¹²⁴^ORCID

Affiliation:

1. Alcohol and Drug Assessment Unit Princess Alexandra Hospital Brisbane Australia

2. Discipline of Psychiatry The University of Queensland Brisbane Australia

3. National Health and Medical Research Council FASD Research Australia Centre of Research Excellence, Telethon Kids Institute The University of Western Australia Perth Australia

4. Centre for Youth Substance Abuse Research The University of Queensland Brisbane Australia

5. School of Information Technology and Electrical Engineering The University of Queensland Brisbane Australia

6. Faculty of Health Queensland University of Technology Brisbane Australia

Funder

National Health and Medical Research Council

Publisher

Wiley

Subject

Psychiatry and Mental health,Medicine (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/add.15038

Reference69 articles.

1. Alcohol use disorders

2. Alcohol Use in Adults

3. Patient predictors of alcohol treatment outcome: A systematic review

4. Baseline predictors of treatment outcome in Internet-based alcohol interventions: a recursive partitioning analysis alongside a randomized trial

5. Outcome predictors in substance use disorders

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