Chronic Kidney Disease Prediction System

Authors

  • Ammavajjula Sai Tejaswi  Computer Science and Engineering, GVP College of Engineering for Women, Visakhapatnam, Andhra Pradesh, India
  • Animilla Swapna Deepika  Computer Science and Engineering, GVP College of Engineering for Women, Visakhapatnam, Andhra Pradesh, India
  • Yaragani Sowmya  Computer Science and Engineering, GVP College of Engineering for Women, Visakhapatnam, Andhra Pradesh, India

DOI:

https://doi.org//10.32628/CSEIT206215

Keywords:

Feature Engineering, Classification Algorithm.

Abstract

Chronic Kidney Disease (CKD) is a very dangerous health problem that has been spreading due to globally due to alterations in lifestyle such as food habits, changes in the atmosphere, etc. So, it is essential to decide any remedies to avoid and predict the disease in an early stage. This paper focuses on predictive analytics architecture to analyze the CKD dataset using feature engineering and classification algorithm. The proposed model incorporates techniques to validate the feasibility of data points used for analysis. The main focus of research work is to analyze the dataset of chronic kidney failure and perform the classification of CKD and Non-CKD cases.

References

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

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Published

2020-04-30

Issue

Volume 6, Issue 2, March-April-2020

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]
Ammavajjula Sai Tejaswi, Animilla Swapna Deepika, Yaragani Sowmya, " Chronic Kidney Disease Prediction System, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 2, pp.43-47, March-April-2020. Available at doi : https://doi.org/10.32628/CSEIT206215