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Heart Disease Prediction Using SVM and Decision Tree

  • Unique Paper ID: 178902
  • Volume: 11
  • Issue: 12
  • PageNo: 4400-4404
  • Abstract:
  • Heart disease is a most lethal condition in the current days. Historical numeric data shows that death rate due to cardiac arrest is high. Thus, it is important to diagnose the condition as fast as possible. With the patients’ health data, a model is proposed to diagnose heart diseases. Fields like age, bp, glucose, cholesterol levels, etc. are given as input to the algorithms which in turn is then used to predict the chance of heart stroke to a person. Algorithms such as support vector machine, decision trees are used to predicate the chance of heart stroke, and each algorithm has different functionality such as decision trees is used to provide classified result. Support vector machine is used for regression and classification analysis. In this project, we use support vector machine and decision tree algorithm to classify data and predict the target.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 12
  • PageNo: 4400-4404

Heart Disease Prediction Using SVM and Decision Tree

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