Journal ArticleOpen Access
ACCU3RATE: A mobile health application rating scale based on user reviews
Authors
Author Affiliations
Bangladesh University of Business and Technology, University of Oxford, Jahangirnagar University, Nottingham Trent University, ...
Published InPLoS ONE
Year2021
Citations81
Abstract
BACKGROUND: Over the last decade, mobile health applications (mHealth App) have evolved exponentially to assess and support our health and well-being. OBJECTIVE: This paper presents an Artificial Intelligence (AI)-enabled mHealth app rating tool, called ACCU3RATE, which takes multidimensional measures such as user star rating, user review and features declared by the developer to generate the rating of an app. However, currently, there is very little conceptual understanding on how user reviews affect app rating from a multi-dimensional perspective. This study applies AI-based text mining technique to develop more comprehensive understanding of user feedback based on several important factors, determining the mHealth app ratings. METHOD: Based on the literature, six variables were identified that influence the mHealth app rating scale. These…
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