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A Semantic-Based Dynamic Search Engine Design and Implementation for Electronic Medical Records

A Semantic-Based Dynamic Search Engine Design and Implementation for Electronic Medical Records

Weider D. Yu, Seshadri K. Yilayavilli
Copyright: © 2010 |Volume: 1 |Issue: 2 |Pages: 13
ISSN: 1947-315X|EISSN: 1947-3168|EISBN13: 9781609604363|DOI: 10.4018/jehmc.2010040106
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MLA

Yu, Weider D., and Seshadri K. Yilayavilli. "A Semantic-Based Dynamic Search Engine Design and Implementation for Electronic Medical Records." IJEHMC vol.1, no.2 2010: pp.61-73. http://doi.org/10.4018/jehmc.2010040106

APA

Yu, W. D. & Yilayavilli, S. K. (2010). A Semantic-Based Dynamic Search Engine Design and Implementation for Electronic Medical Records. International Journal of E-Health and Medical Communications (IJEHMC), 1(2), 61-73. http://doi.org/10.4018/jehmc.2010040106

Chicago

Yu, Weider D., and Seshadri K. Yilayavilli. "A Semantic-Based Dynamic Search Engine Design and Implementation for Electronic Medical Records," International Journal of E-Health and Medical Communications (IJEHMC) 1, no.2: 61-73. http://doi.org/10.4018/jehmc.2010040106

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Abstract

In the current technology driven world, information retrieval activities are in almost every aspect of daily, as society uses popular web search engines like Google, Yahoo!, Live Search, Ask, and so forth to obtain helpful information. Often, these popular search engines look for and obtain key information; however, not all of the retrieved items are relevant in context to the search target a. Thus, it is left for the user to filter out unwanted information, using only a few information items left from the search results. These popular web search engines use a first generation search service based on “static keywords”, which require the users to know exactly what they want to search and enter the right keywords. This approach puts the user at a disadvantage. In this paper, the authors investigate and design a dynamic, question-answer search engine that enables searching by attributes for more precise and relevant information in Electronic Medical Record (EMR) field.

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