Cardiovascular Disease Prediction using Machine Learning

Authors

  • Vandana Joshi, Varshitha B, Mallikarjuna M, Shruthi R, Devarasetty Vivek Kumar

Abstract

Throughout world wide the main cause of death is happening due to heart attacks and this costs millions of deaths and threat to life.Data mining techniques have the advantage of less human intervention and it is also cost effective while the clinical parameters has to undergo many procedures.The significance of using data mining or machine learning techniques is that they give precise output.The study is made under supervised classification techniques Bayesian and logistic regression.The proposed web application is user interactive and helps in the medical field mainly in laboratories which incorporates the developed model and predicts the threat of heart disease in aneasier and cost effective way.The outcome of the proposed model predicts the accuracy of the classifierand application proposed will predict if a person is chronic to Heart disease.

Keywords: Machine Learning; Supervised Learning; naive Bayes; Logistic Regression; Web Application.

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Published

2020-05-12

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Section

Articles