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Heart Disease Prediction System Using Decision Tree and Naive Bayes Algorithm.

Subburaj Maheswari1, Ramu Pitchai2

  • 1Department of Computer Science and Engineering, National Engineering College, Kovilpatti-628503, Tamil nadu, India.

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Summary

This study introduces an intelligent system for heart disease prediction using data mining techniques. It analyzes patient symptoms to provide guidance and improve decision-making in healthcare.

Keywords:
Intelligent prediction systemdata miningdecision tree algorithmheart disease predictionknowledge representationnaive bayes algorithm

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Area of Science:

  • Health Informatics
  • Data Mining
  • Artificial Intelligence in Medicine

Background:

  • Vast amounts of healthcare data are collected but often underutilized for decision-making.
  • Effective methods are needed to identify hidden patterns within this data for improved patient outcomes.
  • Current systems lack intelligent prediction capabilities for early disease identification.

Purpose of the Study:

  • To develop an intelligent prediction system for heart disease identification.
  • To provide end-user support and instance guidance for heart disease symptoms.
  • To leverage data mining techniques for accurate patient data analysis.

Main Methods:

  • Utilized data mining techniques, specifically decision tree (ID3) and Naive Bayes algorithms.
  • Fed various heart disease symptoms into the prediction application.
  • Analyzed patient data to retrieve details associated with each case.

Main Results:

  • The system successfully processed patient symptoms and associated data.
  • Decision tree and Naive Bayes techniques were applied for data retrieval.
  • Performance analysis was conducted based on the accuracy of the heart disease predictions.

Conclusions:

  • The proposed intelligent system offers a valuable tool for heart disease prediction.
  • Data mining methods enhance the identification of hidden information in healthcare data.
  • The system aids in effective decision-making for early heart disease detection.