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The Efficiency of Different Distance Metrics for Keyword-Based Search in Medical Documents: A Short Case Study
Authors
Ágnes Vathy-Fogarassy, Szabolcs Szekér, Balázs Szolár, György Fogarassy
Pages
232 - 239
DOI
10.3233/SHTI200101
Category
Research Article
Series
Studies in Health Technology and Informatics
Ebook
Volume 271: dHealth 2020 – Biomedical Informatics for Health and Care
Abstract

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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