DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jang, Hyeju | ko |
dc.contributor.author | Song, Sa Kwang | ko |
dc.contributor.author | Myaeng, Sung Hyon | ko |
dc.date.accessioned | 2010-03-03T02:34:46Z | - |
dc.date.available | 2010-03-03T02:34:46Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2006 | - |
dc.identifier.citation | INFORMATION RETRIEVAL TECHNOLOGY, PROCEEDINGS BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE, v.4182, pp.553 - 559 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | http://hdl.handle.net/10203/16862 | - |
dc.description.abstract | We propose a semantic tagger that provides high level concept information for phrases in clinical documents. It delineates such information from the statements written by doctors in patient records. The tagging, based on Hidden Markov Model (HMM), is performed on the documents that have been tagged with Unified Medical Language System (UMLS), Part-of-Speech (POS), and abbreviation tags. The result can be used to extract clinical knowledge that can support decision making or quality assurance of medical treatment. | - |
dc.description.sponsorship | This study was supported by a grant of the Korea Health 21 R&D Project, Ministry of Health & Welfare, Korea. | en |
dc.language | English | - |
dc.language.iso | en_US | en |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.title | Text mining for medical documents using a Hidden Markov Model | - |
dc.type | Article | - |
dc.identifier.wosid | 000241690200045 | - |
dc.identifier.scopusid | 2-s2.0-33751362447 | - |
dc.type.rims | ART | - |
dc.citation.volume | 4182 | - |
dc.citation.beginningpage | 553 | - |
dc.citation.endingpage | 559 | - |
dc.citation.publicationname | INFORMATION RETRIEVAL TECHNOLOGY, PROCEEDINGS BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Myaeng, Sung Hyon | - |
dc.contributor.nonIdAuthor | Jang, Hyeju | - |
dc.contributor.nonIdAuthor | Song, Sa Kwang | - |
dc.type.journalArticle | Article; Proceedings Paper | - |
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