The emergence of information and communications technology (ICT) and rise in living standards necessitate knowledge-based decision support systems that provide services anytime and anywhere with low cost. These services assist individuals for making right decisions regarding lifestyle choices (e.g., dietary choices, stretching after workout, transportation choices), which may have a significant impact on their future health implications that may lead to medical complications and end up with a chronic disease. In other words, the knowledge-based services help individuals to make a personal and conscious decision to perform behaviour that may increase or decrease the risk of injury or disease. The main aim of this chapter is to provide personalized ubiquitous lifecare (u-lifecare) services based on users’ generated big data. We propose a platform to acquire knowledge from diverse data sources and briefly explain the potential underlying technology tools. We also present a case study to show the interaction among the platform components and personalized services to individuals.
|Title of host publication
|Current Trends on Knowledge-Based Systems
|Giner Alor-Hernández, Rafael Valencia-García
|Springer Science and Business Media Deutschland GmbH
|Number of pages
|Published - 15 Mar 2017
|Intelligent Systems Reference Library
Bibliographical notePublisher Copyright:
© Springer International Publishing AG 2017.
Copyright 2017 Elsevier B.V., All rights reserved.
- Big Data Services
- Decision support system
- Knowledge-based system
- Personalized u-lifecare
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems and Management