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A Literature Survey on Various Classifications of Data Mining for Predicting Heart Disease

  • Divya Singh RathoreEmail author
  • Anamika Choudhary
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 39)

Abstract

The heart is a very important hard working organ in the human body, which pumps blood to supply nutrients and oxygen throughout the whole body. The prediction of the occurrence of heart disease in the medical area is an important task. Algorithm of data mining are very helpful in the detection of Cardiovascular disease. In this paper, a survey has been provided for data mining classification techniques, in which health professionals have been offered to help in diagnosing cardiovascular diseases. We start by over-viewing the data mining techniques and describing various classification models used in for the earlier detection of heart diseases. Then, we review the proposed research works on using data mining classification techniques in this area.

Keywords

SVM Back propagation Prediction 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Computer Science and EngineeringJIETJodhpurIndia

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