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Personalized Vaccination Using Ontology Based Profiling

  • Ozgu Can
  • Emine Sezer
  • Okan Bursa
  • Murat Osman Unalir
Part of the Communications in Computer and Information Science book series (CCIS, volume 390)

Abstract

Ontology-based knowledge representation and modeling for vaccine domain provides an effective mechanism to improve the quality of healthcare information systems. Vaccination process generally includes different processes like vaccine research and development, production, transportation, administration and tracking of the adverse events that may occur after the administration of vaccine. Moreover, vaccination process may cause some side effects that could cause permanent disability or even be fatal. Therefore, it is important to build and store the vaccine information by developing a vaccine data standardization. In the vaccination process, there are different stakeholders, such as individuals who get the vaccination, health professionals who apply the vaccination, health organizations, vaccine producers, pharmacies and drug warehouses. In this paper, a vaccine data standardization is proposed and a generic user modeling is applied in the context of personalized vaccination for healthcare information systems. Besides, policies are also used to strengthen the proposed personalized vaccination model by defining clinical guidances for individuals. The proposed personalized vaccination system offers a better management of vaccination process and supports the tracking of individual’s medical information.

Keywords

Medical Knowledge Management Semantic Web Vaccine Ontology Healthcare Personalization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Ozgu Can
    • 1
  • Emine Sezer
    • 1
  • Okan Bursa
    • 1
  • Murat Osman Unalir
    • 1
  1. 1.Department of Computer EngineeringEge UniversityBornova-IzmirTurkey

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