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Adaptive Questionnaire Ontology in Gathering Patient Medical History in Diabetes Domain

  • P. C. Sherimon
  • P. V. Vinu
  • Reshmy Krishnan
  • Youssef Takroni
  • Yousuf AlKaabi
  • Yousuf AlFars
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 285)

Abstract

Clinical Decision Support System (CDSS) can be used to prepare diagnosis from different patient’s details and hence physicians or nurses can review this diagnosis for improving the final decision. Due to the lack of CDSS in diabetes and related diseases in Sultanate of Oman, an Ontology based CDSS is proposed here. The deployed key components of the system are Adaptive Questionnaire Ontology, patient’s semantic profile, guideline ontology and risk assessment reasoner. We here propose a model for gathering the patient medical history based on dynamic questionnaire ontology. Ontology is among the most powerful tools to encode medical knowledge semantically. It is an abstract model which represents a common and shared understanding of a domain. The model is explained and implemented for diabetes domain.

Keywords

Patient semantic profile Questionnaire ontology OWL Adaptive questionnaire Protégé 

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Notes

Acknowledgments

This work is published as part of a project funded by The Research Council [TRC], Oman under Agreement No. ORG/AOU/ICT/11/015, Proposal No ORG/ICT/11/004 and Arab Open University, Oman Branch.

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Copyright information

© Springer Science+Business Media Singapore 2014

Authors and Affiliations

  • P. C. Sherimon
    • 1
  • P. V. Vinu
    • 1
  • Reshmy Krishnan
    • 2
  • Youssef Takroni
    • 3
  • Yousuf AlKaabi
    • 4
  • Yousuf AlFars
    • 4
  1. 1.M.S.UniversityBarodaIndia
  2. 2.Muscat CollegeMuscatSultanate of Oman
  3. 3.Arab Open UniversityMuscatSultanate of Oman
  4. 4.SQU HospitalMuscatSultanate of Oman

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