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Grouping Digital Health Apps Based on Their Quality and User Ratings Using K-Medoids Clustering: Cross-Sectional Study
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Grouping Digital Health Apps Based on Their Quality and User Ratings Using K-Medoids Clustering: Cross-Sectional Study
Background: Digital health apps allow for proactive rather than reactive healthcare and have the potential to take the pressure off healthcare providers. With over 350,000 digital health apps available on the app stores today, those apps need to be of sufficient quality to be safe to use. Discovering the typology of digital health apps regarding professional/clinical assurance, user experience, data privacy and user ratings may help in determini…
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