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General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. Eng. Technol.
    • Frequency:  Quarterly 
    • DOI: 10.7763/IJET
    • Managing Editor: Ms. Jennifer Zeng
    • Abstracting/ Indexing: Inspec (IET), CNKI Google Scholar, EBSCO, ProQuest, Crossref, Ulrich Periodicals Directory, Chemical Abstracts Services (CAS), etc.
    • E-mail: ijet_Editor@126.com
Editor-in-chief
IJET 2013 Vol.5(5): 527-531 ISSN: 1793-8236
DOI: 10.7763/IJET.2013.V5.611

Web Based Intelligent Decision Support System for Type 2 Diabetes Patients

F. Sahar

Abstract—Intensive treatment of type 2 diabetes can respond as a considerable decrease in the complications related to diabetes. In spite of specialist care there are still many patients that have poor control over their diabetes and the chronic nature of type 2 diabetes makes patients dependent on their care providers. In Type 2 diabetes patients require empowerment and self-management for initial and long term treatment. The required transfer of care from health care providers to patients needs an intervention of computerized decision support systems. In widespread health care practice the interventions that have demonstrated effective results in the management of chronic and/or progressive diseases have often been difficult to develop because of disease nature. The paper describes a web based intelligent decision support system (IDSS) for type 2 diabetes patients, where more emphasis is put on patient empowerment and self-management in treatment. The IDSS is based on well documented decision support system, designed mainly for type 2 diabetes patients. The scope of IDSS is broad from being mainly used by type 2 diabetes patients as a tool for their empowerment, self-management, communication, and education.

Index Terms—Exercise, IDSS, selfmanagement, type 2 diabetes, web application

The author is with Tampere University of Technology, Finland (e-mail: farrukhsahar@yahoo.com).

[PDF]

Cite:F. Sahar, "Web Based Intelligent Decision Support System for Type 2 Diabetes Patients," International Journal of Engineering and Technology vol. 5, no. 5, pp. 527-531, 2013.

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