title: Extracting diagnosis from Japanese radiological report.
abstract: This study is aimed at extracting diagnosis with positive or negative assertion from radiological report written in Japanese Natural Language. We get frequency of verb patterns that indicate pos/neg assertion, and extract a rule in order of the occurrence. We made customized dictionary of 36,152 terms relating to disease names or radiological findings, and tried to extract pairs of (pos/neg, disease and verb pattern ) by using rules according to the most frequent pattern from 1,524/5,000 CT reports (each report consists of 15.1 words on the average). We tried only a few rules so far, and continue to find other rules.
authors.affiliation: The Graduate School of Interdisciplinary Information Studies, the University of Tokyo, Japan.
authors.forename: Takeshi
authors.initials: T
authors.lastname: Imai
authors.forename: Yuzo
authors.initials: Y
authors.lastname: Onogi
mesh_terms: D003933:Diagnosis; D006801:Humans; D016247:Information Storage and Retrieval; D007564:Japan; D016347:Medical Records Systems, Computerized; D009323:Natural Language Processing; D011873:Radiology Information Systems; D014057:Tomography, X-Ray Computed; D018875:Vocabulary, Controlled