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Authors: Maria Salama 1 and Ahmed Shawish 2

Affiliations: 1 British University in Egypt, Egypt ; 2 Ain Shams University, Egypt

ISBN: 978-989-758-010-9

ISSN: 2184-4305

Keyword(s): e-Health, Healthcare, Diabetes, Cloud Computing, Mobile Cloud Computing.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Cloud Computing ; Cloud in Healthcare ; Design and Development Methodologies for Healthcare IT ; Distributed and Mobile Software Systems ; e-Health ; Health Engineering and Technology Applications ; Health Information Systems ; Healthcare Management Systems ; Home Care & Health Networks ; Mobile Technologies ; Mobile Technologies for Healthcare Applications ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Platforms and Applications ; Software Engineering

Abstract: Healthcare is one of the most important sectors in all countries; consuming an average of 9.5% of their domestic product. Among the widely spread endemic diseases, Diabetes is particularly a non-cured one that consumes medical resources, follow-up efforts, regular set of diverse checkups, continual needs for physicians and medical supplies. The current advanced healthcare systems succeeded to be a reservoir of healthcare records focussing on emergency and medical imaging only. At the same time, most of the currently deployed systems cannot provide a daily follow up to patients as well as not being able to help governments to smartly allocate their medical resources. In this paper, we propose a comprehensive framework that incorporates Mobile and Cloud computing with data mining techniques to efficiently provide a real-time smart healthcare framework for Diabetes. Mobile application is emerged as a widely deployed communication tool between the patients and the proposed system hosted o n the Cloud. The Cloud is incorporated to accommodate the system due to its known features that makes it possible to acquire continually fresh data from the field. The data is then processed through smart data mining techniques to extract knowledge and draw conclusions for governments. As discussed in the paper, the proposed framework promises a significant enhancement in the resources allocation and utilization, as well as provides a faster emergency response. The proposed architecture has been simulated using Junosphere, a cloud simulator, and it could represent a significant step towards future smart healthcare systems specialized to cover other endemic diseases. (More)

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Paper citation in several formats:
Salama, M. and Shawish, A. (2014). A Novel Mobile-Cloud based Healthcare Framework for Diabetes.In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014) ISBN 978-989-758-010-9, ISSN 2184-4305, pages 262-269. DOI: 10.5220/0004750702620269

author={Maria Salama. and Ahmed Shawish.},
title={A Novel Mobile-Cloud based Healthcare Framework for Diabetes},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)},


JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)
TI - A Novel Mobile-Cloud based Healthcare Framework for Diabetes
SN - 978-989-758-010-9
AU - Salama, M.
AU - Shawish, A.
PY - 2014
SP - 262
EP - 269
DO - 10.5220/0004750702620269

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