Heart Disease Prediction System Using Classification Algorithms | SpringerLink
Skip to main content
Springer Nature Link
Log in

Heart Disease Prediction System Using Classification Algorithms

  • Conference paper
  • First Online:
Advances in Computing and Data Sciences (ICACDS 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1244))

Included in the following conference series:

  • 1474 Accesses

Abstract

Heart disease and stroke have had an impact on 28:1% of total deaths in India in 2016 as compared to 15:2% in 1990. With the rising use of learning algorithms, In this edition paper, we have developed a system for predicting heart disease that can predict heart disease by using a modified random forest algorithm. The proposed algorithm is trained with a dataset consisting of 303 instances which help to predict the occurrence of heart disease with an accuracy of 86:84% and can be implemented in the medical field to improve the overall diagnosis about heart disease.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5719
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7149
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Anbarasi, M., Anupriya, E., Iyengar, N.: Enhanced prediction of heart disease with feature subset selection using genetic algorithm. Int. J. Eng. Sci. Technol. 2(10), 5370–5376 (2010)

    Google Scholar 

  2. Cherian, V., Bindu, M.S.: Heart disease prediction using Naïve Bayes algorithm and laplace smoothing technique. Int. J. Comput. Sci. Trends Technol. 5(2), 68–73 (2017)

    Google Scholar 

  3. Dulhare, U.N.: Prediction system for heart disease using Naive Bayes and particle swarm optimization. Biomed. Res. (India) (2018). https://doi.org/10.4066/biomedicalresearch.29-18-620

    Article  Google Scholar 

  4. Enriko, I.K.A., Suryanegara, M., Gunawan, D.: Heart disease prediction system using k-Nearest neighbor algorithm with simplified patient’s health parameters. J. Telecommun. Electron. Comput. Eng. 8(12), 59–65 (2016)

    Google Scholar 

  5. Gupta, P., Maharaj, B.T., Malekian, R.: A novel and secure iot based cloud centric architecture to perform predictive analysis of users activities in sustainable health centres. Multimed. Tools Appl. 76(18), 18489–18512 (2017)

    Article  Google Scholar 

  6. Gupta, P., Tyagi, V., Singh, S.: Predictive Computing and Information Security. Springer, Heidelberg (2017). https://doi.org/10.1007/978-981-10-5107-4

    Book  Google Scholar 

  7. Kaur, G., Sharma, A., Sharma, A.: Heart disease prediction using KNN classification approach. Int. J. Comput. Sci. Eng. (2019). https://doi.org/10.26438/ijcse/v7i5.416420

  8. Kirmani, M.M., Ansarullah, S.I.: Prediction of heart disease using decision tree a data mining technique. IJCSN Int. J. Comput. Sci. Netw. 5(6), 885–892 (2016)

    Google Scholar 

  9. Marimuthu, M., Deivarani, S., Gayathri, R.: Analysis of heart disease prediction using various machine learning techniques. In: Advances in Computerized Analysis in Clinical and Medical Imaging (2019). https://doi.org/10.1201/9780429446030-13

  10. Medhekar, D.S., Bote, M.P., Deshmukh, S.D.: Heart disease prediction system using Naive Bayes. Int. J. Enhanced Res. Sci. Technol. Eng. 2(3), 1–5 (2013)

    Google Scholar 

  11. Pandey, A.: A heart disease prediction model using decision tree. IOSR J. Comput. Eng. (2013). https://doi.org/10.9790/0661-1268386

    Article  Google Scholar 

  12. Patil, P.P.R., Kinariwala, P.S.A.: Automated diagnosis of heart disease using data mining techniques. Int. J. Adv. Res. Ideas Innov. Technol., 560–567 (2017)

    Google Scholar 

  13. Dangare, C.S., Apte, S.S.: Improved study of heart disease prediction system using data mining classification techniques. Int. J. Comput. Appl. 47(10), 44–48 (2012). https://doi.org/10.5120/7228-0076

    Article  Google Scholar 

  14. Singh, G.A.P., Gupta, P.K.: Performance analysis of various machine learning-based approaches for detection and classification of lung cancer in humans. Neural Comput. Appl. 31(10), 6863–6877 (2018). https://doi.org/10.1007/s00521-018-3518-x

    Article  Google Scholar 

  15. Singh, Y.K., Sinha, N., Singh, S.K.: Heart disease prediction system using random forest. In: Singh, M., Gupta, P., Tyagi, V., Sharma, A., Ören, T., Grosky, W. (eds.) Advances in Computing and Data Sciences, pp. 613–623. Springer Singapore, Singapore (2017). https://doi.org/10.1007/978-981-10-5427-3_63

    Chapter  Google Scholar 

  16. Lavanya, T., Satyanarayana, N., Manasa, K.: Heart disease prediction using random forest algorithm, August 2018. https://doi.org/10.5281/ZENODO.1400571, https://zenodo.org/record/1400571

  17. UCI: UCI Machine Learning Repository: Heart Disease Data Set (2019)

    Google Scholar 

  18. Vembandasamy, K., Sasipriya, R., Deepa, E.: Heart diseases detection using Naive Bayes algorithm. Int. J. Innov. Sci. Eng. Technol. 2(9), 441–444 (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Jaypee University of Information Technology, Waknaghat, 173 234, India

    Sarthak Vinayaka & P. K. Gupta

Authors
  1. Sarthak Vinayaka
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. P. K. Gupta
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to P. K. Gupta .

Editor information

Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India

    P. K. Gupta

  3. Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  4. Institute of Information Theory and Automation, Prague, Czech Republic

    Jan Flusser

  5. University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

  6. University of Malta, Valletta, Malta

    Gianluca Valentino

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Vinayaka, S., Gupta, P.K. (2020). Heart Disease Prediction System Using Classification Algorithms. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Valentino, G. (eds) Advances in Computing and Data Sciences. ICACDS 2020. Communications in Computer and Information Science, vol 1244. Springer, Singapore. https://doi.org/10.1007/978-981-15-6634-9_36

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-6634-9_36

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6633-2

  • Online ISBN: 978-981-15-6634-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics