Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6884705 | Journal of Network and Computer Applications | 2018 | 18 Pages |
Abstract
Modern ICT Applications on Tele-health focuses on providing the smart infrastructure that facilitates the delivery of health services. While Internet-of-Things (IoT) and cloud-computing platforms assist the implementation of such architecture, the reliability of service delivery during network disconnection is still an open issue in this domain. This paper proposes a prediction methodology that is able to deliver reliable services with acceptable accuracy by incorporating domain-specific knowledge into exchanged data. The proposed service will be of a great value in a situation where the network availability is not reliable. The contributions of this work are to 1) measure the impact of ontology enrichment on classifying the health data, 2) develop a prediction model that is able to predict patients' readings with an acceptable accuracy, and 3) minimize communicating messages among the network components. Three experiments have been conducted on a real health dataset to measure the performance of the proposed methodology. The results showed that our proposed methodology improved the reliability of the Tele-health services implemented on the top of IoT and cloud-computing platforms.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Majdi Rawashdeh, Mohammed GH. AL Zamil, M. Shamim Hossain, Samer Samarah, Syed Umar Amin, Ghulam Muhammad,