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A scoping review of machine learning in psychotherapy research

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References

2005Scoping studies: towards a methodological framework36,603 cited
2013Statistical Power to Detect the Correct Number of Classes in Latent Profile Analysis1,986 cited
2017Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning1,928 cited
2018An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study1,061 cited
2019Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy854 cited
2011Harnessing Context Sensing to Develop a Mobile Intervention for Depression646 cited
2016Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild333 cited
2016Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health323 cited
2011Applications of text mining within systematic reviews212 cited
2013Principles of Big Data: Preparing, Sharing, and Analyzing Complex Information210 cited
2019Towards integrating personalized feedback research into clinical practice: Development of the Trier Treatment Navigator (TTN)196 cited
2017Dynamic Multimodal Measurement of Depression Severity Using Deep Autoencoding193 cited
2019Key Considerations for Incorporating Conversational AI in Psychotherapy166 cited

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2002Peer review of statistics in medical research: the other problem156 cited

2015Predicting long-term outcome of Internet-delivered cognitive behavior therapy for social anxiety disorder using fMRI and support vector machine learning154 cited

2016A practical guide to big data research in psychology.147 cited

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