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Data Mining Approach to Predict and Analyze the Cardiovascular Disease

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Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 515))

Abstract

This paper presents the experimental analysis of data provided by UCI machine learning repository. Weka open source machine learning tool provided by Waikato University reveals the hidden fact behind the datasets on applying supervised mathematical proven algorithm, i.e., J48 and Naïve Bayes algorithm. J48 is an extension of ID3 algorithm having additional features like continuous attribute value ranges and derivation of rules. The data sets were analyzed using two approaches, i.e., first taken with selected attributes and taken with all attributes. The performance of both the algorithm reveals the accuracy of algorithm and predicting the various reasons behind this increasing problem of cardiovascular diseases.

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Authors and Affiliations

  1. Amity University Uttar Pradesh, Noida, India

    Anurag Bhatt & Sanjay Kumar Dubey

  2. Birla Institute of Applied Sciences, Bhimtal, India

    Ashutosh Kumar Bhatt

  3. Amity University, Lucknow Campus, Lucknow, UP, India

    Manish Joshi

Authors
  1. Anurag Bhatt
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  2. Sanjay Kumar Dubey
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  3. Ashutosh Kumar Bhatt
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  4. Manish Joshi
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Corresponding author

Correspondence to Anurag Bhatt .

Editor information

Editors and Affiliations

  1. ANITS, Prof., Comp. Sci. & Engg. Dept. ANITS, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Dept. of ECE, Shri Ramswaroop Mem. Group of Prof. Clg Dept. of ECE, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. SCIS, University of Hyderabad , Hyderabad, India

    Siba K. Udgata

  4. KIIT University, School of Computer Engineering KIIT University, Bhubaneswar, Odisha, India

    Prasant Kumar Pattnaik

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© 2017 Springer Nature Singapore Pte Ltd.

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Bhatt, A., Dubey, S.K., Bhatt, A.K., Joshi, M. (2017). Data Mining Approach to Predict and Analyze the Cardiovascular Disease. In: Satapathy, S., Bhateja, V., Udgata, S., Pattnaik, P. (eds) Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications . Advances in Intelligent Systems and Computing, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-10-3153-3_12

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  • DOI: https://doi.org/10.1007/978-981-10-3153-3_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3152-6

  • Online ISBN: 978-981-10-3153-3

  • eBook Packages: EngineeringEngineering (R0)

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