z-logo
open-access-imgOpen Access
Heart Disease Prediction System Using Data Mining and Hybrid Intelligent Techniques: A Review
Author(s) -
J. Vijayashree,
N.Ch. Sriman NarayanaIyengar
Publication year - 2016
Publication title -
international journal of bio-science and bio-technology
Language(s) - English
Resource type - Journals
eISSN - 2233-7849
pISSN - 2208-9810
DOI - 10.14257/ijbsbt.2016.8.4.16
Subject(s) - computer science , data mining , artificial intelligence , machine learning , data science
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 .

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom