A Systematic Review of Machine Learning for Assessment and Feedback of Treatment Fidelity

Abstract excerpt

<p>Many psychological treatments have been shown to be cost-effective and efficacious, as long as they are implemented faithfully. Assessing fidelity and providing feedback is expensive and time-consuming. Machine learning has been used to assess treatment fidelity, but the reliability and generalisability is unclear. We collated and critiqued all implementations of machine learning to assess the verbal behaviour...

Topics

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• Aged
• Anxiety
• Cohort Studies
• Cross-Sectional Studies
• Latent Class Analysis
• Models, Statistical
• Phenotype
• Stress Disorders, Post-Traumatic

Identifiers and source

Literature Corpus work

121a7d22-a18e-53b4-9c7e-72b8963f11bd

DOI

10.31234/osf.io/wmyuc