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Can we predict who will benefit from cognitive-behavioural therapy? A systematic review and meta-analysis of machine learning studies
16 references·2 citing·44 second hop
Can we predict who will benefit from cognitive-behavioural therapy? 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(2010)To Explain or to Predict?Conducting Meta-Analyses in R with the metafor Package (2010)Conducting Meta-Analyses in R…Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred reporting items for…The clinical global impressions scale: applying a research tool in clinical practice. (2007)The clinical global impressio…Bergin and Garfield's Handbook of Psychotherapy and Behavior Change (2003)Bergin and Garfield's Handboo…Defining empirically supported therapies. (1998)Defining empirically supporte…Bias in meta-analysis detected by a simple, graphical test (1997)Bias in meta-analysis detecte…The Brief Symptom Inventory: an introductory report (1983)The Brief Symptom Inventory: …Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBT (2024)Making the most out of timese…Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions (2023)Machine learning for cognitiv…Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. 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1,663 cited
  • 2015The heterogeneity statistic I2 can be biased in small meta-analyses1,228 cited
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    • 2023Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions61 cited
    • 2024Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBT4 cited