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Prediction of Occurrence of Heart Disease and Its Dependability on RCT Using Data Mining Techniques

  • Pinky Bajaj
  • Kavita Choudhary
  • Renu Chauhan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 340)

Abstract

This paper is basically extension of our work in detection of diseases using data mining techniques. Here it shows that heart disease can be diagnose by using various data mining techniques and algorithms such as decision tree, split validation and apply model. Some Attributes like age, root canal treatment, smoking and diabetes predicts the probability of patients getting a heart disease. The proposed system that is the union of computer-based patient records with clinical decision support can lower down medical mistakes, unwanted practice variation and helps in improving patient safety and outcome.

Keywords

Validation algorithm Decision tree Apply model Age Smoking Diabetes Max heart rate RCT Diet 

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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.ITM UniversityGurgaonIndia

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