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Survey on Heart Disease Prediction System Based on Data Mining Techniques


Affiliations
1 Department of Information and Technology, School of Computing Sciences, Vels University, Chennai, India
 

Objectives: To be familiar with the kinds of coronary illness, and information mining procedures to fight them.

Methods/Statistical analysis: To handle this, data mining concepts and techniques used were discussed to discover hidden patterns from medical domain.

Findings: The purpose of predictions in data mining is to discover trends in patient data through patterns generation to improve the health strategy. The algorithms presented here are with a specific end goal to anticipate the coronary illness which includes some constraint.


Keywords

Data Mining, CVD Diseases, Disease Prediction.
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  • Survey on Heart Disease Prediction System Based on Data Mining Techniques

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Authors

M. Thiyagaraj
Department of Information and Technology, School of Computing Sciences, Vels University, Chennai, India
G. Suseendran
Department of Information and Technology, School of Computing Sciences, Vels University, Chennai, India

Abstract


Objectives: To be familiar with the kinds of coronary illness, and information mining procedures to fight them.

Methods/Statistical analysis: To handle this, data mining concepts and techniques used were discussed to discover hidden patterns from medical domain.

Findings: The purpose of predictions in data mining is to discover trends in patient data through patterns generation to improve the health strategy. The algorithms presented here are with a specific end goal to anticipate the coronary illness which includes some constraint.


Keywords


Data Mining, CVD Diseases, Disease Prediction.

References