Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Efficient Korean name string similarity algorithm based on character of Korean name and Korean alphabet

Full metadata record
DC Field Value Language
dc.contributor.authorJeong, B.-H.-
dc.contributor.authorChoi, J.-T.-
dc.contributor.authorPark, D.-K.-
dc.date.available2020-02-28T10:45:29Z-
dc.date.created2020-02-12-
dc.date.issued2015-
dc.identifier.issn1738-9984-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/10951-
dc.description.abstractFor patient information identification, demographic fields (name and address), and medical information (medical history) are compared in order to measure the similarities. The improvement of algorithm related to Koreans' Hangul name is necessary in the individual distinguishing part in order to introduce MPI system matching Korea. Since Hangul is a type of combination, we cannot match the names more exactly by the one-dimensional distance comparative function which was used in existing English. This paper suggests the algorithm for the Korean name comparison. © 2015 SERSC.-
dc.language영어-
dc.language.isoen-
dc.publisherScience and Engineering Research Support Society-
dc.relation.isPartOfInternational Journal of Software Engineering and its Applications-
dc.titleEfficient Korean name string similarity algorithm based on character of Korean name and Korean alphabet-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.doi10.14257/ijseia.2015.9.2.02-
dc.identifier.bibliographicCitationInternational Journal of Software Engineering and its Applications, v.9, no.2, pp.13 - 22-
dc.identifier.scopusid2-s2.0-84924407973-
dc.citation.endPage22-
dc.citation.startPage13-
dc.citation.titleInternational Journal of Software Engineering and its Applications-
dc.citation.volume9-
dc.citation.number2-
dc.contributor.affiliatedAuthorPark, D.-K.-
dc.type.docTypeArticle-
dc.subject.keywordAuthorKorean-
dc.subject.keywordAuthorName-
dc.subject.keywordAuthorSimilarity-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
의과대학 > 의학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Park, Dong Kyun photo

Park, Dong Kyun
College of Medicine (Department of Medicine)
Read more

Altmetrics

Total Views & Downloads

BROWSE