DocumentCode
3340918
Title
A Study on Document Structure Recognition of Discharge Summaries for Analogous Case Search System
Author
Kawanaka, Hiroharu ; Shiroyama, Yujiro ; Tsuruoka, Shinji ; Shinogi, Tsuyoshi ; Yamamoto, Koji
Author_Institution
Dept. of Electr. & Electron. Eng., Mie Univ., Tsu
fYear
2008
fDate
16-19 Sept. 2008
Firstpage
423
Lastpage
430
Abstract
Recently, many paper-based documents used in hospitals are computerized because of diffusion of Clinical Information Systems (CIS). The demands for converting these documents into XML documents have been growing to re-use the information in these documents on the CIS. Previously, we proposed a recognition and XML generation method for tabular form discharge summary documents and conducted experiments to validate the effectiveness of the proposed method. The results show that documents with only characters and ruled lines are converted to XML documents appropriately. However, the documents with figures and dotted lines could not be converted in the experiment. In this paper, we propose the discrimination method to extract dotted lines and figures like schemas and so on. This paper describes the detail of the proposed method and shows the results of the experiments to validate the effectiveness of the proposed method. The problem of the proposed method and future works of this study are described at the end of this paper.
Keywords
XML; document image processing; feature extraction; information retrieval; medical image processing; medical information systems; optical character recognition; statistical analysis; analogous case search system; clinical information system diffusion; discrimination method; dotted line extraction; hospital; paper-based document; statistical method; tabular form discharge summary XML document structure recognition; Biomedical imaging; Biomedical informatics; Clinical diagnosis; Computational Intelligence Society; Data mining; Hospitals; Information analysis; Prototypes; Text analysis; XML; Analogous Case Search; Discharge Summaries; Document Recognition; Layout Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis Systems, 2008. DAS '08. The Eighth IAPR International Workshop on
Conference_Location
Nara
Print_ISBN
978-0-7695-3337-7
Type
conf
DOI
10.1109/DAS.2008.79
Filename
4669990
Link To Document