Earticle

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

키워드

저자

• J.Vijayashree [ School of Computer Engineering, VIT University, Vellore-632014, TN, India ]
• N. Ch. Sriman Narayana Iyengar [ School of Computer Engineering, VIT University, Vellore-632014, TN, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605