Coordinating analytics methods for mobile healthcare applications

Mobile healthcare applications enjoy increasing popularity and provide significant benefits to users who can take advantage of the general availability and the increasing set of sensors in mobile devices. Healthcare analytics services developed for a variety of conditions to provide insights and guidance to patients can augment the mobile applications with computationally intensive analysis at the server-side environment. Creating applications that are supported by analytics is challenging for different reasons: We must deal with the limited information to get relevant recommendations, or not enough to provide appropriate predictions (patients trajectory to reach goal such as weight loss). Moreover building an analytical model in the health domain brings its own challenges such as data ingestion, data curation, and service levels, etc.

This paper proposes a software architecture framework that eases the support of analytics in the mobile health applications. The paper also discusses the various components that make up the framework by taking one analytical model as a use case.