Linked Life Data

20841836

Source:http://linkedlifedata.com/resource/pubmed/id/20841836

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
Pt 2
pubmed:dateCreated
2010-9-15
pubmed:abstractText
ICD-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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
T
pubmed:status
MEDLINE
pubmed:issn
0926-9630
pubmed:author
pubmed:issnType
Print
pubmed:volume
160
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1010-4
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Internal structure of a disease name and its application for ICD coding.
pubmed:affiliation
Department of Medical Informatics, Graduate School of Medicine, The University of Tokyo, Japan. emiko-tky@umin.ac.net
pubmed:publicationType
Journal Article