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

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (419) Quality Improvement (295) Security and Privacy of mHealth and uHealth (159) Usability of Apps and User Perceptions of mHealth (1192) Data Science (358) Digital Health Reporting Standards, Quality and Transparency in e-Research (133)

Published on in Vol 13 (2025)

This is a member publication of Ulster University (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57279, first published .
Grouping Digital Health Apps Based on Their Quality and User Ratings Using K-Medoids Clustering: Cross-Sectional Study

Grouping Digital Health Apps Based on Their Quality and User Ratings Using K-Medoids Clustering: Cross-Sectional Study

Grouping Digital Health Apps Based on Their Quality and User Ratings Using K-Medoids Clustering: Cross-Sectional Study

Authors of this article:

Maciej Marek Zych1 Author Orcid Image ;   Raymond Bond1 Author Orcid Image ;   Maurice Mulvenna1 Author Orcid Image ;   Lu Bai2 Author Orcid Image ;   Jorge Martinez-Carracedo1 Author Orcid Image ;   Simon Leigh3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Maciej Marek Zych   1 , PhD ;   Raymond Bond   1 , BSc, PhD ;   Maurice Mulvenna   1 , BSc, MPhil, PhD ;   Lu Bai   2 , BEng, PhD ;   Jorge Martinez-Carracedo   1 , BSc, MSc, PhD ;   Simon Leigh   3 , BSc, MSc, PhD

1 School of Computing, Ulster University, Belfast, United Kingdom

2 School of Electronics, Electrical Engineering and Computer Science, Queen's University, Belfast, United Kingdom

3 Organisation for the Review of Care and Health Apps (ORCHA), Daresbury, United Kingdom

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