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

Muhammad Fahim*, Thar Baker

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

10 Citations (Scopus)

Abstract

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
EditorsGiner Alor-Hernández, Rafael Valencia-García
PublisherSpringer Science and Business Media Deutschland GmbH
Pages187-203
Number of pages17
ISBN (Electronic)978-3-319-51905-0
ISBN (Print)978-3-319-84775-7
DOIs
Publication statusPublished - 15 Mar 2017
Externally publishedYes

Publication series

NameIntelligent Systems Reference Library
Volume120
ISSN (Print)1868-4394
ISSN (Electronic)1868-4408

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2017.

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

Keywords

  • Big Data Services
  • Decision support system
  • Knowledge-based system
  • Personalized u-lifecare

ASJC Scopus subject areas

  • Computer Science(all)
  • Information Systems and Management

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