Corrigenda and Addenda
doi:10.2196/87810
In “Uncovering Social States in Healthy and Clinical Populations Using Digital Phenotyping and Hidden Markov Models: Observational Study” [] the authors noted one error.
The error pertains to the visualization of the transition probabilities in , where a mistake in the calculation of these probabilities was made. This error did not impact any of the text in the paper as the interpretation of the figure remains the same, and the values were not used in any analysis. As the same code was used to visualize transition probabilities of alternative models in the supplementary materials, the transition probability figures in Multimedia Appendix 2 have also been corrected.
The correction will appear in the online version of the paper on the JMIR Publications website, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

Results from additional hidden Markov model (HMM) variations, including HMMs trained on the entire dataset and HMMs with 3-4 hidden states.
PDF File (Adobe PDF File), 1263 KBReference
- Leaning IE, Costanzo A, Jagesar R, Reus LM, Visser PJ, Kas MJH, et al. Uncovering social states in healthy and clinical populations using digital phenotyping and hidden markov models: observational study. J Med Internet Res. Apr 28, 2025;27:e64007. [FREE Full text] [CrossRef] [Medline]
This is a non–peer-reviewed article. submitted 14.Nov.2025; accepted 17.Nov.2025; published 24.Dec.2025.
Copyright©Imogen E Leaning, Andrea Costanzo, Raj Jagesar, Lianne M Reus, Pieter Jelle Visser, Martien J H Kas, Christian F Beckmann, Henricus G Ruhé, Andre F Marquand. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 24.Dec.2025.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research (ISSN 1438-8871), is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
