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An Empirical Analysis of Heart Disease Prediction Using Data Mining Techniques

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Data Engineering for Smart Systems

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 238))

Abstract

Data mining refers to analyzing an existing dataset related to heart patients from which patterns are discovered within the dataset, and hence we are able to find out meaningful information from the dataset. Large amounts of data cannot be processed by traditional methods to predict heart diseases; hence, we use data mining concepts to resolve the issue. Accuracy achieved by predicting heart diseases using data mining techniques is better than prediction by doctors. In our study, we summarize the observation from multiple papers in which more than one technique (algorithm) of data mining is used for predicting heart diseases. Results from the study were found that using neural networks accuracy obtained is 100%, from classification accuracy obtained is 99.62%.

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Author information

Authors and Affiliations

  1. SCIT, Manipal University Jaipur, Jaipur, India

    Ashish Kumar, Sivapuram Sai Sanjith, Rajkishan Cherukuru, Vivek Kumar Verma, Tarun Jain & Anju Yadav

Authors
  1. Ashish Kumar
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  2. Sivapuram Sai Sanjith
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  3. Rajkishan Cherukuru
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  4. Vivek Kumar Verma
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  5. Tarun Jain
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  6. Anju Yadav
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Editor information

Editors and Affiliations

  1. School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW, Australia

    Priyadarsi Nanda

  2. Manipal University Jaipur, Jaipur, Rajasthan, India

    Vivek Kumar Verma

  3. Manipal University Jaipur, Jaipur, Rajasthan, India

    Sumit Srivastava

  4. Manipal University Jaipur, Jaipur, Rajasthan, India

    Rohit Kumar Gupta

  5. Department of Computer Science and Engineering, Malviya National Institute of Technology, Jaipur, Rajasthan, India

    Arka Prokash Mazumdar

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Kumar, A., Sanjith, S.S., Cherukuru, R., Verma, V.K., Jain, T., Yadav, A. (2022). An Empirical Analysis of Heart Disease Prediction Using Data Mining Techniques. In: Nanda, P., Verma, V.K., Srivastava, S., Gupta, R.K., Mazumdar, A.P. (eds) Data Engineering for Smart Systems. Lecture Notes in Networks and Systems, vol 238. Springer, Singapore. https://doi.org/10.1007/978-981-16-2641-8_36

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