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Mining minds: an innovative framework for personalized health and wellness support
conference contribution
posted on 2023-05-23, 10:52 authored by Banos, O, Muhammad Bilal AminMuhammad Bilal Amin, Khan, WA, Ali, T, Afzal, M, Byeong KangByeong Kang, Lee, SThe world is witnessing a spectacular shift in the delivery of health and wellness care. The key ingredient of this transformation consists in the use of revolutionary digital technologies to empower people in their self-management as well as to enhance traditional care procedures. While substantial domain-specific contributions have been provided to that end in the recent years, there is a clear lack of platforms that may orchestrate, and intelligently leverage, all the data, information and knowledge generated through these technologies. This work presents Mining Minds, an innovative framework that builds on the core ideas of the digital health and wellness paradigms to enable the provision of personalized healthcare and wellness support. Mining Minds embraces some of the currently most prominent digital technologies, ranging from Big Data and Cloud Computing to Wearables and Internet of Things, and state of- the-art concepts and methods, such as Context-Awareness, Knowledge Bases or Analytics, among others. This paper aims at thoroughly describing the efficient and rational combination and interoperation of these modern technologies and methods through Mining Minds, while meeting the essential requirements posed by a framework for personalized health and wellness support.
History
Publication title
Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare (Pervasive Health)Pagination
1-8ISBN
9781631900457Department/School
School of Information and Communication TechnologyPublisher
IEEE-Inst Electrical Electronics Engineers IncPlace of publication
New Jersey, USAEvent title
9th International Conference on Pervasive Computing Technologies for Healthcare (Pervasive Health)Event Venue
Istanbul, TurkeyDate of Event (Start Date)
2015-05-20Date of Event (End Date)
2015-05-23Rights statement
Copyright 2015 ICSTRepository Status
- Restricted