ACCU3RATE: A mobile health application rating scale based on user reviews.

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 vari

SUBMITTER: Biswas M 

PROVIDER: S-EPMC8675707 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature