title: The Mining Minds digital health and wellness framework.
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.
authors.affiliation: Department of Computer Engineering, Kyung Hee University, 1732 Deokyoungdae-ro, Giheung-ug, Yongin-si, 446-701, Korea.
authors.forename: Oresti
authors.initials: O
authors.lastname: Banos
authors.affiliation: Department of Computer Engineering, Kyung Hee University, 1732 Deokyoungdae-ro, Giheung-ug, Yongin-si, 446-701, Korea.
authors.forename: Muhammad
authors.initials: M
authors.lastname: Bilal Amin
authors.affiliation: Department of Computer Engineering, Kyung Hee University, 1732 Deokyoungdae-ro, Giheung-ug, Yongin-si, 446-701, Korea.
authors.forename: Wajahat
authors.initials: W
authors.lastname: Ali Khan
authors.affiliation: Department of Computer Engineering, Kyung Hee University, 1732 Deokyoungdae-ro, Giheung-ug, Yongin-si, 446-701, Korea.
authors.forename: Muhammad
authors.initials: M
authors.lastname: Afzal
authors.affiliation: Department of Computer Engineering, Kyung Hee University, 1732 Deokyoungdae-ro, Giheung-ug, Yongin-si, 446-701, Korea.
authors.forename: Maqbool
authors.initials: M
authors.lastname: Hussain
authors.affiliation: School of Computing and Information Systems, University of Tasmania, Churchill Avenue Hobart, Tasmania, 7005, Australia.
authors.forename: Byeong Ho
authors.initials: BH
authors.lastname: Kang
authors.affiliation: Department of Computer Engineering, Kyung Hee University, 1732 Deokyoungdae-ro, Giheung-ug, Yongin-si, 446-701, Korea. sylee@oslab.khu.ac.kr.
authors.forename: Sungyong
authors.initials: S
authors.lastname: Lee
mesh_terms: D057225:Data Mining / Q000379:methods*; D015438:Health Behavior; D007722:Health Knowledge, Attitudes, Practice; D006293:Health Promotion / Q000379:methods*; D006801:Humans; D020407:Internet; D062069:Inventions; D008019:Life Style; D063731:Mobile Applications
keywords: Big data; Cloud computing; Context-awareness; Digital health; Human behavior; Knowledge bases; Quantified self; User experience; Wearable sensors; dHealth framework