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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.
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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  Data: Machine learned text topics improve drop-out risk prediction but not symptom prediction in online psychotherapies for depression and anxiety.
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  Data: <searchLink fieldCode="AU" term="%22Mylläri+S%22">Mylläri S</searchLink>; Department of Psychology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.<br /><searchLink fieldCode="AU" term="%22Saarni+SE%22">Saarni SE</searchLink>; Department of Psychiatry, Faculty of Medicine and Health Technology, University of Tampere, Tampere, Finland.; Psychiatry, Wellbeing Services County of Päijät-Häme, Lahti, Finland.<br /><searchLink fieldCode="AU" term="%22Joffe+G%22">Joffe G</searchLink>; Helsinki University Hospital, University of Helsinki, Helsinki, Finland.<br /><searchLink fieldCode="AU" term="%22Ritola+V%22">Ritola V</searchLink>; Helsinki University Hospital, University of Helsinki, Helsinki, Finland.<br /><searchLink fieldCode="AU" term="%22Stenberg+JH%22">Stenberg JH</searchLink>; Helsinki University Hospital, University of Helsinki, Helsinki, Finland.<br /><searchLink fieldCode="AU" term="%22Rosenström+TH%22">Rosenström TH</searchLink>; Department of Psychology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
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  Data: <searchLink fieldCode="JN" term="%229110958%22">Psychotherapy research : journal of the Society for Psychotherapy Research</searchLink> [Psychother Res] 2026 Feb; Vol. 36 (2), pp. 387-402. <i>Date of Electronic Publication: </i>2025 Mar 18.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Routledge%22">Routledge </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9110958 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1468-4381 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210503307%22">10503307 </searchLink><i>NLM ISO Abbreviation: </i>Psychother Res <i>Subsets: </i>MEDLINE
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        Value: 10.1080/10503307.2025.2473921
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        Text: English
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              Text: 2026 Feb
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