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2018 | OriginalPaper | Chapter

Medical Diagnosis Through Semantic Web

Authors : P. Monika, M. R. Vinutha, B. N. Srihari, S. Harikrishna, S. M. Sumangala, G. T. Raju

Published in: Computational Vision and Bio Inspired Computing

Publisher: Springer International Publishing

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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.

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Title: Medical Diagnosis Through Semantic Web
Authors: P. Monika
M. R. Vinutha
B. N. Srihari
S. Harikrishna
S. M. Sumangala
G. T. Raju
Publisher: Springer International Publishing
Book: Computational Vision and Bio Inspired Computing
Print ISBN: 978-3-319-71766-1

Electronic ISBN: 978-3-319-71767-8

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-71767-8_14

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