효율적 암 분류를 위한 텍스트마이닝 기반의 의학적 의사결정지원시스템 개발

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.