Soft Computing is a consortium of methodologies which works synergistically and provides an ability to make decision from reliable data or expert’s experience. Nowadays different types of soft computing techniques such as neural network, fuzzy logic, genetic algorithm and hybrid system are largely used in medical areas. In this paper, algorithm for analysis of lung infection is presented. The main focus is to develop system architecture to find probable disease stage patient may have. Severity level of disease is determined by using rule base method. The algorithm uses output of Rulebase and entered by user to determine level of infection.
목차
Abstract 1. Introduction 1.1 Knowledge based Clinical Decision Support System: 1.2 Non-Knowledge based Clinical Decision Support System 2. Review of Related Work 3. Fuzzy Diagnostic Decision Support System 3.1. Proposed Fuzzy Medical Diagnosis System 4. System Modelling and Working 5. Conclusion References
키워드
Decision support systemFuzzy logicRulebase diagnosis
보안공학연구지원센터(IJBSBT) [Science & Engineering Research Support Center, Republic of Korea(IJBSBT)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Bio-Science and Bio-Technology
간기
격월간
pISSN
2233-7849
수록기간
2009~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Bio-Science and Bio-Technology Vol.7 No.6