Detection and Evaluation of Chronic Kidney Disease Using Machine Learning Techniques

Authors

  • Mr. S. SenthilKumar  Research Scholar, PG & Research Department of Computer Science, A.V.V.M Sri Pushpam College (Autonomous), Poondi , Thanjavur, TamilNadu, India.
  • Dr. T. S. Baskaran  Associate Professor& Research Supervisor, PG & Research Department of Computer Science, A.V.V.M Sri Pushpam College (Autonomous), Poondi, Thanjavur, TamilNadu, India.

Keywords:

Clinical decision, Chronic kidney disease, Diagnostic algorithm, Machine Learning.

Abstract

Scientists are eager to improve and improve Analytical tools for clinical diagnosis. Machine learning technique one of the tools used in clinical analysis and diagnosis. This research considers the implementation of data mining Classification tools in renal patient data sets.It can also be used as a large storage deviceNumber of data. It also helps in understanding diseasesIt paves the way for predicting the disease and its future consequences Sickness. The proposed method reveals levels Renal failure patient and treatment and clinical outcome.

References

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

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Published

2023-08-30

Issue

Volume 9, Issue 4, July-August-2023

Section

Research Articles

License

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

How to Cite

[1]
Mr. S. SenthilKumar, Dr. T. S. Baskaran, " Detection and Evaluation of Chronic Kidney Disease Using Machine Learning Techniques" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 4, pp.443-445, July-August-2023.