A Survey on Prediction of Heart Disease Using Data Mining Techniques
Journal: International Journal of Science and Research (IJSR) (Vol.6, No. 4)Publication Date: 2017-04-05
Authors : B. Umadevi; M. Snehapriya;
Page : 2228-2232
Keywords : Data mining; Heart disease prediction; Data mining Techniques;
Abstract
The major disease which makes sudden demise for the people is the heart diseases in the medical field. 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 medical field is dealing with huge amount of data regularly. Handling that large data by traditional way may affect the results. Advanced data mining techniques are used to find out facts in the database and for medical research, particularly in heart disease prediction. The massive amounts of data generated for prediction of heart disease which is too difficult and baggy to be processed and analyzed by conventional methods. Data mining provides the methodology and technology to transform these data into useful information for decision making. Use of data mining algorithms will result in quick prediction of disease with high accuracy.
Other Latest Articles
- Work Participation and its Occupational Structure in Haryana: A Spatio-Temporal Analysis
- The Actual Speed Limit for Particles with Rest Mass Not Equal to Zero and the Highest Attainable Mass
- Prevalence of HCV Virus among Thalassemia Patients in Albania
- Secret Image Protection through Image Fusion Technique
- The Nutritional Supplementation during 80 Consecutive Days with Gluthatione (GSH), Alpha Lipoic Acid among other Bioactive Phytomolecules Significantly Rise Systemic (GSH) Levels and Reduces Hair's Aluminium (Al) in Patients
Last modified: 2021-06-30 18:32:29