Published on in Vol 11 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/41815, first published
.
![Trajectories of Symptoms in Digital Interventions for Depression and Anxiety Using Routine Outcome Monitoring Data: Secondary Analysis Study Trajectories of Symptoms in Digital Interventions for Depression and Anxiety Using Routine Outcome Monitoring Data: Secondary Analysis Study](https://asset.jmir.pub/assets/818afb0bb1c791acde169b2a5823258d.png 480w,https://asset.jmir.pub/assets/818afb0bb1c791acde169b2a5823258d.png 960w,https://asset.jmir.pub/assets/818afb0bb1c791acde169b2a5823258d.png 1920w,https://asset.jmir.pub/assets/818afb0bb1c791acde169b2a5823258d.png 2500w)
Journals
- Hisler G, Young K, Cumpanasoiu D, Palacios J, Duffy D, Enrique A, Keegan D, Richards D. Incorporating a deep‐learning client outcome prediction tool as feedback in supported internet‐delivered cognitive behavioural therapy for depression and anxiety: A randomised controlled trial within routine clinical practice. Counselling and Psychotherapy Research 2024 View