International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 117 - Number 22 |
Year of Publication: 2015 |
Authors: Ankur Makwana, Jaymin Patel |
10.5120/20683-3496 |
Ankur Makwana, Jaymin Patel . Decision Support System for Heart Disease Prediction using Data Mining Techniques. International Journal of Computer Applications. 117, 22 ( May 2015), 1-5. DOI=10.5120/20683-3496
Data Mining techniques have been widely used to mine knowledgeable information from medical database. Most nations face high and expanding rates of coronary illness or Cardiovascular Disease. Despite the fact that, current pharmaceutical is creating colossal measure of information consistently, little has been carried out to utilize this accessible information to illuminate the difficulties that face a beneficial understanding of electrocardiography examination results. Computer situated in development alongside creditable Data Mining systems are utilized for proper results. Disease finding is one of the applications where Data Mining devices are demonstrating successful results. These are the main reason for death everywhere throughout the world in the past ten years. Several scientists are utilizing factual and Data Mining apparatuses to over assistance social insurance experts in the analysis of these disease. Using Hybrid Data Mining strategy in the analysis of coronary illness has been completely explored indicating satisfactory levels of accuracy.