원문정보
보안공학연구지원센터(IJBSBT)
International Journal of Bio-Science and Bio-Technology
Vol.8 No.4
2016.08
pp.139-148
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Heart disease is one of the main sources of demise around the world and it is imperative to predict the disease at a premature phase. The computer aided systems help the doctor as a tool for predicting and diagnosing heart disease. The objective of this review is to widespread about Heart related cardiovascular disease and to brief about existing decision support systems for the prediction and diagnosis of heart disease supported by data mining and hybrid intelligent techniques.
목차
Abstract
1. Introduction
2. Cardiovascular Disease
2.1. Prevalence of Heart Disease
3. Decision Support System for Heart Disease Prediction and Diagnosis
3.1. Knowledge Discovery in Database
3.2 Data Mining Algorithms
3.3. Genetic Algorithm
4. Surviving Techniques for Heart Disease Prediction using Data Mining Techniques
5. Surviving Techniques for Heart Disease Prediction using Hybrid Intelligent Techniques
6. Conclusion
References
1. Introduction
2. Cardiovascular Disease
2.1. Prevalence of Heart Disease
3. Decision Support System for Heart Disease Prediction and Diagnosis
3.1. Knowledge Discovery in Database
3.2 Data Mining Algorithms
3.3. Genetic Algorithm
4. Surviving Techniques for Heart Disease Prediction using Data Mining Techniques
5. Surviving Techniques for Heart Disease Prediction using Hybrid Intelligent Techniques
6. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보