The Mining Minds digital health and wellness framework. Issue 1 (July 2016)

• Record Type: Journal Article
• Authors: Banos, Oresti; Bilal Amin, Muhammad; Ali Khan, Wajahat; Afzal, Muhammad; Hussain, Maqbool; Kang, Byeong; Lee, Sungyong
• Is Part Of: Biomedical engineering online. Volume 15:Issue 1(2016)
• Page Start: 165
• Page End: 186
• Publication Date: 2016-07
• Subjects: Human behavior -- Digital health -- dHealth framework -- Quantified self -- Wearable sensors -- Big data -- Cloud computing -- Context-awareness -- Knowledge bases -- User experience; Biomedical engineering -- Periodicals; 610.2805
• DOI: 10.1186/s12938-016-0179-9
• Languages: English
• ISSNs: 1475-925X

Abstract

Abstract Background The provision of health and wellness care is undergoing an enormous transformation. A key element of this revolution consists in prioritizing prevention and proactivity based on the analysis of people's conducts and the empowerment of individuals in their self-management. Digital technologies are unquestionably destined to be the main engine of this change, with an increasing number of domain-specific applications and devices commercialized every year; however, there is an apparent lack of frameworks capable of orchestrating and intelligently leveraging, all the data, information and knowledge generated through these systems. Methods This work presents Mining Minds, a novel framework that builds on the core ideas of the digital health and wellness paradigms to enable the provision of personalized support. Mining Minds embraces some of the most prominent digital technologies, ranging from Big Data and Cloud Computing to Wearables and Internet of Things, as well as modern concepts and methods, such as context-awareness, knowledge bases or analytics, to holistically and continuously investigate on people's lifestyles and provide a variety of smart coaching and support services. Results This paper comprehensively describes the efficient and rational combination and interoperation of these technologies and methods through Mining Minds, while meeting the essential requirements posed by a framework for personalized health and wellness support. Moreover, this work presents a realization of the key architectural components of Mining Minds, as well as various exemplary user applications and expert tools to illustrate some of the potential services supported by the proposed framework. Conclusions Mining Minds constitutes an innovative holistic means to inspect human behavior and provide personalized health and wellness support. The principles behind this framework uncover new research ideas and may serve as a reference for similar initiatives.