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Published on: February 23, 2019
The Efficiency of Different Distance Metrics for Keyword-Based Search in Medical Documents: A Short Case Study
Ágnes Vathy-Fogarassy1, Szabolcs Szekér1, Balázs Szolár1
1Department of Computer Science and Systems Technology, University of Pannonia, Hungary.
Background:
Processing of free text written medical texts involves many difficulties arising from typographical errors, synonyms, and abbreviations occurring in the texts.
Methods:
In this study, the applicability of the most common string similarity measures were analyzed and compared for the keyword-based medical text search.
Results:
The usefulness of the similarity measures was studied in a set of medical documents containing more than 20,000 echocardiography reports. Experimental results showed that the Jaro-Winkler dissimilarity measure is the most capable measure to explore the content of the medical texts.
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