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Medical Diagnosis Through Semantic Web

  • P. MonikaEmail author
  • M. R. Vinutha
  • B. N. Srihari
  • S. Harikrishna
  • S. M. Sumangala
  • G. T. Raju
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 28)

Abstract

Semantic web work towards mining of the semantics of data and further processing from the collection of current web resources rather than pattern matching during the information extraction process, there by leading towards the automation of knowledge extraction procedure. Healthcare is one among the major domains, where huge data production happens on daily basis. There is no specific technique or model to successfully utilize the available information during the course of diagnosis. The key to upgrade is to raise awareness among the people. This paper aims at developing a model with the usage of Semantic Web, Ontology concepts and Apache Jena reasoner to improve and refine the basic clinical skills required to provide effective and efficient primary care. The proposed work—Healthub is being evaluated with respect to correctness and accuracy of diagnosis. Results obtained using Apache Jena reasoner show promising responses approximately much nearer to expert conclusions.

Keywords

Semantic web Ontology Healthcare Automated knowledge extraction Reasoner Apache Jena Protégé Mining 

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Copyright information

© Springer International Publishing AG  2018

Authors and Affiliations

  • P. Monika
    • 1
    • 2
    • 4
    Email author
  • M. R. Vinutha
    • 2
    • 4
  • B. N. Srihari
    • 2
    • 4
  • S. Harikrishna
    • 2
    • 4
  • S. M. Sumangala
    • 2
    • 4
  • G. T. Raju
    • 3
    • 4
  1. 1.CSE DepartmentR&D Centre, RNSITBengaluruIndia
  2. 2.Department of CSEDSCEBengaluruIndia
  3. 3.Department of CSERNSITBengaluruIndia
  4. 4.Visvesvaraya Technological UniversityBelagaviIndia

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