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ThinkMind // eTELEMED 2020, The Twelfth International Conference on eHealth, Telemedicine, and Social Medicine // View article etelemed_2020_3_110_40055
Reference Design Model for a Smart e-Coach Recommendation System for Lifestyle Support based on ICT Technologies
 Authors:
Ayan Chatterjee
Martin W. Gerdes
Andreas Prinz
Santiago G. Martinez
Anine Christine Medin Keywords: e-Coach; e-Health; AI; IoT; Human-centered design; ICT; Lifestyle diseases; Recommendation; Decision support; Data security and privacy; Ethics; Ontology. Abstract:
As acknowledged by the World Health Organization (WHO), the demographic development shows that by 2030, eight out of ten foremost causes of death will be connected to risk conditions of lifestyle diseases, regardless of gender. Chronic illness associated with modifiable lifestyle factors will be accountable for the highest death worldwide. Health behavior change should be given priority to avoid serious damages. An Electronic Coach (e-Coach) system can empower people to achieve a healthy lifestyle with early risk predictions and appropriate tailored lifestyle recommendations. Research in e-Health has the potential to provide methods to improve personal healthcare with Information and Communication Technologies (ICT). An Electronic Health (e-Health) virtual coaching recommendation system can monitor people and convey the appropriate recommendations to improve their lifestyle and prevent against non-communicable or lifestyle diseases. This paper addresses the potential of selected emerging information and communication technologies to make e-Health systems smarter, more collaborative, and more efficient. As a result of the analysis, a reference design is discussed here to develop and validate the performance of a smart e-Coach system utilizing ICT, Internet of Things (IoT), and Artificial Intelligence (AI) to provide individual lifestyle recommendations aiming at a healthier lifestyle to prevent obesity and overweight. The healthcare sector is still looking for collaborative, user-friendly, optimized, cost-effective, reliable systems for health e-Coaching with automatic, meaningful, empirical evidence-based, and personalized lifestyle recommendations. The focus is on this system’s implementation and validation, considering obesity and overweight as a case study. Pages: 87 to 93 Copyright: Copyright (c) IARIA, 2020 Publication date: March 22, 2020 Published in: conference ISSN: 2308-4359 ISBN: 978-1-61208-763-4 Location: Valencia, Spain Dates: from November 21, 2020 to November 25, 2020
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