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효율적 암 분류를 위한 텍스트마이닝 기반의 의학적 의사결정지원시스템 개발

Other Titles
 Development of Text Mining based clinical decision support system for cancer staging 
Authors
 Jeong-Jin Park  ;  Young-Moon Chae  ;  Suk-Il Kim  ;  Jeong-Eun Kim 
Citation
 Journal of Korean Society of Medical Informatics (대한의료정보학회지), Vol.11(Suppl. 2) : S146-S150, 2005 
Journal Title
 Journal of Korean Society of Medical Informatics (대한의료정보학회지) 
ISSN
 1225-8903 
Issue Date
2005
Abstract
In hospitals, clinical cancer staging is an important element for determining the methods for treatment and prognosis. Since there are too many cases of surgical pathology to be interpreted, the interpreting doctors have to be familiar with various TNM definitions for different kinds of cancers for correct TNM staging. Thus, the objective of this study was to propose a clinical decision support system for doctors at the department of pathology by applying text mining to the text-based results of surgical pathology tests. This system enables the retrieval and classification of text data through keyword search and queries using Boolean operators. In addition, text mining can help knowledge acquisition for clinical decision support system by modifying textbook knowledge in medicine into new knowledge usable to clinical specialists.
Files in This Item:
T200501462.hwp Download
DOI
OAK-2005-06290
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Preventive Medicine and Public Health (예방의학교실) > 1. Journal Papers
4. Graduate School of Public Health (보건대학원) > Graduate School of Public Health (보건대학원) > 1. Journal Papers
Yonsei Authors
Kim, Sun Il(김석일)
Chae, Young Moon(채영문)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/151540
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