Abstract:
At present, cardiovascular disease has become the leading cause of death worldwide.
Particularly in the South Asian countries have a tremendous risk of cardiovascular disease
at an early age than any other ethnic group. Most often it’s challenging for medical
practitioners to predict cardiovascular disease as it requires experience and knowledge
which is a complex task to accomplish. This health industry has enormous amounts of data
which is useful for making effective conclusions using their hidden information. Using
appropriate results and making effective decisions on data, some superior data mining
techniques are used such as Logistic Regression, Decision Tree, Nave Bayes , SVM. By
using some properties like (age, gender, bp, stress etc) we can be predicted the chances of
cardiovascular disease.
