A text matching method to facilitate the validation of frequent order sets obtained through data mining.
In order to compare order sets discovered using a data mining algorithm with existing order sets, we developed an order matching tool based on Oracle Text. The tool includes both automated searching and manual review processes. The comparison between the automated process and the manual review process indicates that the sensitivity of the automated matching is 81% and the specificity is 84%.
Che
Chengjian
C
Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Rocha
Roberto A
RA
D000465:Algorithms; D016247:Information Storage and Retrieval / Q000379:methods*; D050316:Medical Order Entry Systems