DocumentCode :
3738579
Title :
Integration framework of Chronic Disease management system and a recommender system in the United Arab Emirates
Author :
Modafar Ati;Wail Omar;Asmaa S. Hussein
Author_Institution :
College of Engineering, Abu Dhabi University, Abu Dhabi, United Arab Emirates
fYear :
2015
Firstpage :
570
Lastpage :
574
Abstract :
With the ever increase in ICT in the last decade has enabled the advancement in healthcare management systems. Recent development made it possible to remotely monitoring patients as part of attempts to build e-health systems. In this work we are proposing an integration method that combines both an eHealth management system used for diagnosing with a recommender system that provide advice to patients. The work consists of many stages including building a knowledge base system along with capturing physicians´ knowledge in diagnosing different cases. This is done in order to build a robust and accurate prediction management system. This system is then integrated with a recommender system that is able to provide an accurate advice to patients. The integrated system is anticipated to provide a 24/7 access to patients as well as reducing the pressure on healthcare providers. The data used to build the system is based on data collected from the GCC region.
Keywords :
"5G mobile communication","Diseases","Physiology","Signal processing","Information technology","Complexity theory"
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology (ISSPIT), 2015 IEEE International Symposium on
Type :
conf
DOI :
10.1109/ISSPIT.2015.7394402
Filename :
7394402
Link To Document :
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