Mining Minds: an innovative framework for personalized health and wellness support

Abstract

Abstract-The 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 stateof-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.

Human Behavior Analysis by Means of Multimodal Context Mining

“…These categories are combined in a more abstract level through ontological mechanisms in order to determine high-level representations of the user’s context. This paper further extends prior work [ 20 , 21 , 22 ] while providing an exhaustive evaluation of the potential and validity of the proposed solution. In this sense, this paper presents a more functional and applied perspective of the low-high level context dualism, as well as the mechanisms to obtain one out of the other.…”

ATOPE+: An mHealth System to Support Personalized Therapeutic Exercise Interventions in Patients With Cancer

“…ATOPE+ is heavily inspired by the systems presented in the Related work section. The multilevel architecture present in most of the mHealth systems referenced [19]- [21], [56], [59] demonstrated its added value handling knowledge management, specially after being tested in different health applications such as promoting physical activity, general wellbeing and mental health. The small presence of similar approaches with patients with cancer in TE interventions served as a major impulse for this work, specially noting the lack of sophisticated personalization strategies.…”

“…A BSN consists of interconnected biomedical sensors that enable the monitoring of physiological parameters to serve the basis for personalized health applications. The literature gather many examples, like Physiodroid [53], which based its health recommendations upon ubiquitous monitoring of physical activity and vital signs; or Mining Minds [19], which leveraged context-awareness, knowledge bases and analytics to provide tailored health support through a knowledge-based recommender system. Other BSN-based systems targeted more specific issues such as sport health [54] or motions of children with cerebral palsy [55].…”

“…expert systems relying on a rule base and an inference engine, are a technological means to enable knowledge management development. The use of multilevel architectures in knowledge-based health systems to transform physiological data into useful knowledge are critical for the process of knowledge management development, as many state-of-theart systems demonstrate in the literature [19]- [21]. These systems are useful not only to process the data, but also to provide personalized health and wellbeing assistance within their knowledge management process [22], [23].…”

mDurance: A Novel Mobile Health System to Support Trunk Endurance Assessment

“…Currently, at the forefront of the digital health revolution is the so-called mobile health (mHealth) [ 23 ], which refers to the practice of medicine and public health supported by mobile devices and applications. The interest in this domain has particularly boomed due to the growth of wearable and mobile technologies [ 24 ], as well as the intensive effort put by research institutions and companies into the development of digital health systems [ 25 , 26 ] and platforms [ 27 – 30 ].…”