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

Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2136) Peer-to-Peer Support and Online Communities (800) Depression and Mood Disorders; Suicide Prevention (1702) Web-based and Mobile Health Interventions (4044) Text-messaging (SMS, WeChat etc)-Based Interventions (755) Data Science (359) Digital Biomarkers and Digital Phenotyping (290)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50976, first published .
Tracking and Profiling Repeated Users Over Time in Text-Based Counseling: Longitudinal Observational Study With Hierarchical Clustering

Tracking and Profiling Repeated Users Over Time in Text-Based Counseling: Longitudinal Observational Study With Hierarchical Clustering

Tracking and Profiling Repeated Users Over Time in Text-Based Counseling: Longitudinal Observational Study With Hierarchical Clustering

Authors of this article:

Yucan Xu1 Author Orcid Image ;   Christian Shaunlyn Chan2 Author Orcid Image ;   Evangeline Chan3 Author Orcid Image ;   Junyou Chen4 Author Orcid Image ;   Florence Cheung4 Author Orcid Image ;   Zhongzhi Xu5 Author Orcid Image ;   Joyce Liu4 Author Orcid Image ;   Paul Siu Fai Yip6 Author Orcid Image
Article Authors Cited by (4) Tweetations (5) Metrics

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  3. Higuera-Lozano I, Uusimäki V, Pitkänen T, Denayer E, Dewaele A, Felvinczi K, Goossens L, Kaló Z, Rényi M, Cabello M. Exploring the Characteristics of Online Counseling Chat Services for Youth in Europe: Web Search Study. JMIR Mental Health 2025;12:e67949 View
  4. Fu Z, Hsu Y, Chan C, Yip P. Assessing Heterogeneity in Sentiment Changes in Text-Based Counseling: Latent Class Trajectory Analysis. Journal of Medical Internet Research 2025;27:e75091 View