Factors used to Influence Mobile Health Application Rating

Over the last five years, mobile health applications (mHealthapp) have evolved exponentially to assess and support our health and well-being. This paper presents an Artificial Intelligence (AI)-enabledmHealth app rating tool which takes multidimensional measures such as starrating, user’s review and features declared by the developer to generate apprating. However, currently, there is very little conceptual understanding onhow users’ reviews affect app rating from a multi-dimensional perspective. This study applies artificial intelligence (AI)-based text mining technique to develop more comprehensive understanding of users’ feedback based on an array of factors, determining the mHealth app ratings. Based on the literature, six variables were identified that influence the mHealth app rating scale. These factors are user’s star rating, user’s text review, user interface (UI) design, functionality, security and privacy, and clinical approval. Natural Language Toolkit package is used for in...