Using alcohol consumption diary data from an internet intervention for outcome and predictive modeling: a validation and machine learning study

Using alcohol consumption diary data from an internet intervention for outcome and predictive modeling: a validation and machine learning study

Abstract Background Alcohol use disorder (AUD) is highly prevalent and presents a large treatment gap. Self-help internet interventions are an attractive approach to lowering thresholds for seeking help and disseminating evidence-based programs at scale. Internet interventions for AUD however suffer...

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Bibliographic Details
Main Authors: Philip Lindner, Magnus Johansson, Mikael Gajecki, Anne H. Berman
Format: Article
Language:English
Published: BMC 2020-05-01
Series:BMC Medical Research Methodology
Subjects:
Alcohol
Measurement
Calendar
Diary
Machine learning
Classification
Online Access:http://link.springer.com/article/10.1186/s12874-020-00995-z

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http://link.springer.com/article/10.1186/s12874-020-00995-z

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