Machine learned text topics improve drop-out risk prediction but not symptom prediction in online psychotherapies for depression and anxiety.
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| Title: | Machine learned text topics improve drop-out risk prediction but not symptom prediction in online psychotherapies for depression and anxiety. |
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| Authors: | Mylläri S; Department of Psychology, Faculty of Medicine, University of Helsinki, Helsinki, Finland., Saarni SE; Department of Psychiatry, Faculty of Medicine and Health Technology, University of Tampere, Tampere, Finland.; Psychiatry, Wellbeing Services County of Päijät-Häme, Lahti, Finland., Joffe G; Helsinki University Hospital, University of Helsinki, Helsinki, Finland., Ritola V; Helsinki University Hospital, University of Helsinki, Helsinki, Finland., Stenberg JH; Helsinki University Hospital, University of Helsinki, Helsinki, Finland., Rosenström TH; Department of Psychology, Faculty of Medicine, University of Helsinki, Helsinki, Finland. |
| Source: | Psychotherapy research : journal of the Society for Psychotherapy Research [Psychother Res] 2026 Feb; Vol. 36 (2), pp. 387-402. Date of Electronic Publication: 2025 Mar 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Routledge Country of Publication: England NLM ID: 9110958 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1468-4381 (Electronic) Linking ISSN: 10503307 NLM ISO Abbreviation: Psychother Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1468-4381 |
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| DOI: | 10.1080/10503307.2025.2473921 |
