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Machine Learning Algorithms for Early Prediction of Heart Disease

  • Akankasha SinhaEmail author
  • Rejo Mathew
Conference paper
  • 44 Downloads
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 49)

Abstract

Machine learning has been effective in assisting the decision making and analysis of huge data produced by healthcare sector. By using machine learning model for prediction and prognosis of heart disease is now becoming an important method for treatment. This study discusses about various machine learning techniques used in predicting heart disease. This paper aims to provide a comparative analysis on various machine learning algorithms used for the prediction of heart disease.

Keywords

Machine learning Heart disease Cardiovascular disease Artificial Neural Network Decision Tree Support Vector Machine Naïve Bayes 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.MPSTME, NMIMS (deemed-to-be) UniversityMumbaiIndia

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