Knowledge-based decision support systems for personalized u-lifecare big data services

M. Fahim, T. Baker

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNChapterpeer-review


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.
Original languageEnglish
Title of host publicationCurrent Trends on Knowledge-Based Systems
Number of pages16
ISBN (Electronic)9783319519050
Publication statusPublished - 15 Mar 2017


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