• shukla yash chetankumar
• Dheeraj Kumar Singh
• Sumitra Menaria

Data mining is that the method of discovering attention-grabbing patterns and data from enormous size of information. Heart diseases area unit quite common and one among the key causes of death across the world. This concerns Associate in nursing correct and timely identification of the guts sickness. There’s long knowledge offered with the health care systems. Knowledge scientists have tried many strategies so as to improvise the examination of huge knowledge sets. Previously, varied data processing techniques are enforced within the care systems, however, the pairing additionally to one technique within the identification of cardiovascular disease shows promising outcomes, and might be helpful in additional investigation the treatment of the guts diseases. This paper intends to adopt hybrid classification of information mining techniques for the effective prediction of cardiovascular disease. It compares the potency & accuracy of the 2 techniques to make a decision among them the simplest..

Heart Disease. Cardiovascular, Prediction, Estimation, Logistic regression.

"An Augmented approach for prediction of cardiac attack using hybrid classification Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.907-914, March-2019, Available :http://www.jetir.org/papers/JETIR1903H28.pdf

"An Augmented approach for prediction of cardiac attack using hybrid classification Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp907-914, March-2019, Available at : http://www.jetir.org/papers/JETIR1903H28.pdf