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This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (1463) Mednet conference papers (Section Editor: Hans v.d.Slikke)* (14) Randomized trials (Editor: G. Eysenbach)* (198)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80662, first published .
Woman using a mental wellness app on her phone, showing personalized plans and daily check-ins.

Using Ultra-Abridged Individual Difference Scales for Personalization in Digital Mental Health to Improve Uptake, Engagement, and Experiences: Three-Tiered Decision Framework for Scale Shortening

Using Ultra-Abridged Individual Difference Scales for Personalization in Digital Mental Health to Improve Uptake, Engagement, and Experiences: Three-Tiered Decision Framework for Scale Shortening

Authors of this article:

Siu Kit Yeung1 Author Orcid Image ;   Alan C Y Tong1 Author Orcid Image ;   Han Zhao1 Author Orcid Image ;   Winnie W S Mak1 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. Huang X, Ji J, Cheng S. Intelligent vulnerability assessment system for college students mental health based on few-sample reinforcement learning approach. Frontiers in Psychiatry 2026;17 View