Statements in which the resource exists.
SubjectPredicateObjectContext
pubmed-article:20841836rdf:typepubmed:Citationlld:pubmed
pubmed-article:20841836lifeskim:mentionsumls-concept:C0012634lld:lifeskim
pubmed-article:20841836lifeskim:mentionsumls-concept:C0205102lld:lifeskim
pubmed-article:20841836lifeskim:mentionsumls-concept:C0870733lld:lifeskim
pubmed-article:20841836lifeskim:mentionsumls-concept:C0678594lld:lifeskim
pubmed-article:20841836lifeskim:mentionsumls-concept:C0009219lld:lifeskim
pubmed-article:20841836lifeskim:mentionsumls-concept:C0162589lld:lifeskim
pubmed-article:20841836lifeskim:mentionsumls-concept:C0185125lld:lifeskim
pubmed-article:20841836pubmed:issuePt 2lld:pubmed
pubmed-article:20841836pubmed:dateCreated2010-9-15lld:pubmed
pubmed-article:20841836pubmed:abstractTextICD-coding is a complex and difficult task. Coding results vary a great deal depending on each coder's ability. Although the Japanese Standard Disease-Code Master facilitates the coding tasks, it also engenders post-coordination problems derived from combinations of basic diseases (with ICD code) and modifiers. Post-coordination sometimes alters the original ICD code dramatically. To solve this problem, this paper presents a proposal for using internal structures of disease names to correct the ICD code. First, we built an internal structure analyzer, which achieved high (83.7%) accuracy. Results demonstrated that the analyzed output is helpful for precise ICD-coding tasks.lld:pubmed
pubmed-article:20841836pubmed:languageenglld:pubmed
pubmed-article:20841836pubmed:journalhttp://linkedlifedata.com/r...lld:pubmed
pubmed-article:20841836pubmed:citationSubsetTlld:pubmed
pubmed-article:20841836pubmed:statusMEDLINElld:pubmed
pubmed-article:20841836pubmed:issn0926-9630lld:pubmed
pubmed-article:20841836pubmed:authorpubmed-author:OheKazuhikoKlld:pubmed
pubmed-article:20841836pubmed:authorpubmed-author:YamadaEmikoElld:pubmed
pubmed-article:20841836pubmed:authorpubmed-author:ImaiTakeshiTlld:pubmed
pubmed-article:20841836pubmed:authorpubmed-author:AramakiEijiElld:pubmed
pubmed-article:20841836pubmed:issnTypePrintlld:pubmed
pubmed-article:20841836pubmed:volume160lld:pubmed
pubmed-article:20841836pubmed:ownerNLMlld:pubmed
pubmed-article:20841836pubmed:authorsCompleteYlld:pubmed
pubmed-article:20841836pubmed:pagination1010-4lld:pubmed
pubmed-article:20841836pubmed:meshHeadingpubmed-meshheading:20841836...lld:pubmed
pubmed-article:20841836pubmed:meshHeadingpubmed-meshheading:20841836...lld:pubmed
pubmed-article:20841836pubmed:meshHeadingpubmed-meshheading:20841836...lld:pubmed
pubmed-article:20841836pubmed:meshHeadingpubmed-meshheading:20841836...lld:pubmed
pubmed-article:20841836pubmed:year2010lld:pubmed
pubmed-article:20841836pubmed:articleTitleInternal structure of a disease name and its application for ICD coding.lld:pubmed
pubmed-article:20841836pubmed:affiliationDepartment of Medical Informatics, Graduate School of Medicine, The University of Tokyo, Japan. emiko-tky@umin.ac.netlld:pubmed
pubmed-article:20841836pubmed:publicationTypeJournal Articlelld:pubmed