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

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Sustainable Communication Networks and Application (ICSCN 2019)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 39))

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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.

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Author information

Authors and Affiliations

  1. Computer Science and Engineering, JIET, Jodhpur, India

    Divya Singh Rathore & Anamika Choudhary

Authors
  1. Divya Singh Rathore
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  2. Anamika Choudhary
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Corresponding author

Correspondence to Divya Singh Rathore .

Editor information

Editors and Affiliations

  1. Surya Engineering College, Kathirampatti, Tamil Nadu, India

    P. Karrupusamy

  2. Department of Electrical Engineering, Da-Yeh University, Changhua, Taiwan

    Joy Chen

  3. Department of Computer Science, Kennesaw State University, Kennesaw, GA, USA

    Yong Shi

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Rathore, D.S., Choudhary, A. (2020). A Literature Survey on Various Classifications of Data Mining for Predicting Heart Disease. In: Karrupusamy, P., Chen, J., Shi, Y. (eds) Sustainable Communication Networks and Application. ICSCN 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-030-34515-0_76

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