Prediction of Heart Disease and Diabetes Using Naive Bayes Algorithm

Authors

  • Ninad Marathe  Information Technology, Pillai College of Engineering, Panvel, Maharashtra, India
  • Sushopti Gawade  Computer Engineering, Pillai College of Engineering, Panvel, Maharashtra, India
  • Adarsh Kanekar  Information Technology, Pillai College of Engineering, Panvel, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT217399

Keywords:

R Shiny, Naive Bayes, Sqldf, Cognitive Approach.

Abstract

Based on the test report values, diagnose a potential problem. The patient's report can be entered as feedback by the doctors (Sugar level, Age, Blood pressure, etc.). Through evaluating the available data collection, we can predict whether the patient has heart disease or diabetes using the method. Apart from that, we use Rstudio's R shiny addon for Web UI design. As a coding language, we use the R programming language. The Rstudio IDE was used. The datasets were obtained from the University of California at Irvine's repository.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-06-30

Issue

Volume 7, Issue 3, May-June-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Ninad Marathe, Sushopti Gawade, Adarsh Kanekar, " Prediction of Heart Disease and Diabetes Using Naive Bayes Algorithm , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 3, pp.447-453, May-June-2021. Available at doi : https://doi.org/10.32628/CSEIT217399