메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
오용택 (한국한의학연구원 정보개발운영그룹) 김안나 (한국한의학연구원 정보개발운영그룹) 김상균 (한국한의학연구원 정보개발운영그룹) 장현철 (한국한의학연구원 정보개발운영그룹)
저널정보
대전대학교 한의학연구소 논문집 : 대전대학교 한의학연구소. 한의학편 논문집 : 대전대학교 한의학연구소. 한의학편 제23권 제1호
발행연도
2014.1
수록면
13 - 20 (8page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Objectives : Clinical data in traditional medicine, such as Korean medicine, traditional Chinese medicine have a long history of accumulating evidence and these rich data are recorded in classic literature. We have conducted a study of developing an algorithm that support clinical diagnosis with composing both users knowledge and data obtained from literature. In order to define necessary information and required steps in diagnosis procedure, we have established a clinical diagnostic procedure including a step of collecting patients symptoms, a step of determining candidates, a step of diagnostic decisions, a step of deciding of treatment and a step of adjusting medicinal treatment. Methods : Our study have been based on the following premises. 1. Using data obtained from literature contributes to accurate diagnosis 2. Displaying the data before users request contributes to accurate conclusion. Displaying before users request enable users to recognize their overlooking a fact on purpose or not. 3. Checking symptoms that are commonly accompanied with a group of diseases that accompany symptoms appealed by a patient contributes to accurate conclusion. These symptoms are worthy of checking. 4. Comparing more than two candidates contributes to accurate conclusion. Users can compare their accompanied symptoms with patients symptoms and this helps users to make a decision. Results : Based on the above premises, we have developed an literature based algorithm to provide various functions, such as recommending symptoms to check, comparing groups of symptoms, differential diagnosis, recommending medicinal materials to prescribe, and more. Conclusions : By the results of simulation with virtual diagnostic scenario, we concluded this algorithm is useful helping clinician in diagnosis procedure.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0