Self-managed internet based individualized risk assessor for Malaysian diabetes population

Kalaivani Chell, Almabrok Saleh Ahmed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Diabetes risk education is the foundation in diabetes management, and it requires individualization. Such individualization entails provision of relevant and prioritized information to patients. Many current consumer health information systems are capable of providing relevant information base on the patients medical records or history, risk assessment and information prioritization, are yet to be practiced. We have proposed a comprehensive Diabetes Risk Assessor (DRA ) through knowledge management (KM ) to score the risk and individualize priority of information for diabetic patients. Applying KM in healthcare system is nothing-supernatural constituent. Years of research and effort to implement KM been executed and it can be conclude that KM provides promising approach to a successful healthcare knowledge management system. The traditional healthcare patient-physician relationship now changed into dynamic means where the physicians able to treat the patient although separated by the geographical factor. KM also allows sharing of healthcare information between medical practitioners regardless of place and time. This paper described DRA a research project developing an internet base system to assist the diabetes patients in obtaining individualized health management in ensuring their health performance.

Original languageEnglish
Title of host publicationProceedings - CIMSim 2011: 3rd International Conference on Computational Intelligence, Modelling and Simulation
Pages293-297
Number of pages5
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2nd International Conference on Computational Intelligence, Modelling and Simulation 2011, CIMSim 2011 - Langkawi
Duration: 20 Sep 201122 Sep 2011

Other

Other2nd International Conference on Computational Intelligence, Modelling and Simulation 2011, CIMSim 2011
CityLangkawi
Period20/9/1122/9/11

Fingerprint

Diabetes
Knowledge Management
Knowledge management
Medical problems
Internet
Healthcare
Health
Prioritization
Risk Assessment
Risk assessment
Information Systems
Sharing
Information systems
Education

Keywords

  • Diabetes
  • healthcare
  • Knowledge Management

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Modelling and Simulation

Cite this

Chell, K., & Ahmed, A. S. (2011). Self-managed internet based individualized risk assessor for Malaysian diabetes population. In Proceedings - CIMSim 2011: 3rd International Conference on Computational Intelligence, Modelling and Simulation (pp. 293-297). [6076373] https://doi.org/10.1109/CIMSim.2011.59

Self-managed internet based individualized risk assessor for Malaysian diabetes population. / Chell, Kalaivani; Ahmed, Almabrok Saleh.

Proceedings - CIMSim 2011: 3rd International Conference on Computational Intelligence, Modelling and Simulation. 2011. p. 293-297 6076373.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chell, K & Ahmed, AS 2011, Self-managed internet based individualized risk assessor for Malaysian diabetes population. in Proceedings - CIMSim 2011: 3rd International Conference on Computational Intelligence, Modelling and Simulation., 6076373, pp. 293-297, 2nd International Conference on Computational Intelligence, Modelling and Simulation 2011, CIMSim 2011, Langkawi, 20/9/11. https://doi.org/10.1109/CIMSim.2011.59
Chell K, Ahmed AS. Self-managed internet based individualized risk assessor for Malaysian diabetes population. In Proceedings - CIMSim 2011: 3rd International Conference on Computational Intelligence, Modelling and Simulation. 2011. p. 293-297. 6076373 https://doi.org/10.1109/CIMSim.2011.59
Chell, Kalaivani ; Ahmed, Almabrok Saleh. / Self-managed internet based individualized risk assessor for Malaysian diabetes population. Proceedings - CIMSim 2011: 3rd International Conference on Computational Intelligence, Modelling and Simulation. 2011. pp. 293-297
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