title: Internal structure of a disease name and its application for ICD coding.
abstract: 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.
authors.affiliation: Department of Medical Informatics, Graduate School of Medicine, The University of Tokyo, Japan. emiko-tky@umin.ac.net
authors.forename: Emiko
authors.initials: E
authors.lastname: Yamada
authors.forename: Eiji
authors.initials: E
authors.lastname: Aramaki
authors.forename: Takeshi
authors.initials: T
authors.lastname: Imai
authors.forename: Kazuhiko
authors.initials: K
authors.lastname: Ohe
mesh_terms: D059019:Clinical Coding / Q000379:methods; D004194:Disease / Q000145:classification*; D006801:Humans; D038801:International Classification of Diseases / Q000592:standards*