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
저널정보
한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제13권 제6호
발행연도
2017.1
수록면
1,496 - 1,515 (20page)

이용수

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

초록· 키워드

오류제보하기
One of the most visible developments in Decision Support Systems (DSS) was the emergence of rule-basedexpert systems. Hence, despite their success in many sectors, developers of Medical Rule-Based Systems havemet several critical problems. Firstly, the rules are related to a clearly stated subject. Secondly, a rule-basedsystem can only learn by updating of its rule-base, since it requires explicit knowledge of the used domain. Solutions to these problems have been sought through improved techniques and tools, improveddevelopment paradigms, knowledge modeling languages and ontology, as well as advanced reasoningtechniques such as case-based reasoning (CBR) which is well suited to provide decision support in thehealthcare setting. However, using CBR reveals some drawbacks, mainly in its interrelated tasks: the retrievaland the adaptation. For the retrieval task, a major drawback raises when several similar cases are found andconsequently several solutions. Hence, a choice for the best solution must be done. To overcome theselimitations, numerous useful works related to the retrieval task were conducted with simple and convenientprocedures or by combining CBR with other techniques. Through this paper, we provide a combiningapproach using the multi-criteria analysis (MCA) to help, the traditional retrieval task of CBR, in choosingthe best solution. Afterwards, we integrate this approach in a decision model to support medical decision. Wepresent, also, some preliminary results and suggestions to extend our approach.

목차

등록된 정보가 없습니다.

참고문헌 (23)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0