EconPapers    
Economics at your fingertips  
 

Detection and Evaluation of Chronic Kidney Disease Using Machine Learning Techniques

S. SenthilKumar and T. S. Baskaran

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023, vol. 9, issue 4, 443-445

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.

Keywords: Clinical decision; Chronic kidney disease; Diagnostic algorithm; Machine Learning. (search for similar items in EconPapers)
Date: 2023
Note: Article URL: https://ijsrcseit.com/CSEIT2390448
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrcseit.com/CSEIT2390448 Article URL (text/html)
https://ijsrcseit.com/paper/CSEIT2390448.pdf Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v9:y2023:i4:id:hcseit2390448

Access Statistics for this article

More articles in International Journal of Scientific Research in Computer Science, Engineering and Information Technology from International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Bibliographic data for series maintained by Pankaj Sharma (USA) ().

 
Page updated 2026-09-18
Handle: RePEc:jbh:ijsrcs:v9:y2023:i4:id:hcseit2390448