The Efficiency of Different Distance Metrics for Keyword-Based Search in Medical Documents: A Short Case Study
Ágnes Vathy-Fogarassy, Szabolcs Szekér, Balázs Szolár, György Fogarassy · Studies in health technology and informatics · 2020
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.