원문정보
보안공학연구지원센터(IJBSBT)
International Journal of Bio-Science and Bio-Technology
Vol.7 No.6
2015.12
pp.85-96
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보