acePrediction of Clinically Meaningful Improvement After Internet-Delivered Cognitive Behavioral Therapy for Depression and Anxiety Disorders: Machine Learning-Based Predictive Model Development and Temporal Validation Study
Background Up to 50% of patients treated with internet-delivered cognitive behavioral therapy (ICBT) for depression and anxiety disorders do not experience clinically significant symptom reduction. Identifying these patients prior to the initiation of ICBT can support treatment planning. Objective The aim of this study was to enhance baseline prediction of clinically meaningful improvement in patients treated with ICBT for common psychiatric disorders in routine care, which could ultimately inform treatment plan…
Up to half of patients receiving internet-delivered CBT for depression and anxiety disorders fail to achieve clinically significant symptom reduction, complicating treatment planning at intake.
Polygenic scores did not improve prediction in this cohort and modeling setup, and validation was limited to temporal holdout rather than prospective external implementation.
Evidence
- Peer-reviewedJournal of Medical Internet Research2026-08-07
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Truvace Impact Record TRV-2026-0738, v1: “Prediction of Clinically Meaningful Improvement After Internet-Delivered Cognitive Behavioral Therapy for Depression and Anxiety Disorders: Machine Learning-Based Predictive Model Development and Temporal Validation Study.” Truvace, 2026-08-12. /record/TRV-2026-0738 (accessed at citation time). sha256 a8d8c74ff662809b…
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