Discovery of significant parameters in kidney dialysis data sets by K-means algorithm

B. V. Ravindra, N. Sriraam, M. Geetha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

The contributing factors for kidney dialysis such as creatinine, sodium, urea plays an important role in deciding the survival prediction of the patients as well as the need for undergoing kidney transplantation. Several attempts have been made to derive automated decision making procedure for earlier prediction. This preliminary study investigates the importance of clustering technique for identifying the influence of kidney dialysis parameters. A simple K-means algorithm is used to elicit knowledge about the interaction between many of these measured parameters and patient survival. The clustering procedure predicts the survival period of the patients who is undergoing the dialysis procedure.

Original languageEnglish
Title of host publicationProceedings of International Conference on Circuits, Communication, Control and Computing, I4C 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages452-454
Number of pages3
ISBN (Electronic)9781479965465
DOIs
Publication statusPublished - 10-03-2014
Externally publishedYes
Event2014 International Conference on Circuits, Communication, Control and Computing, I4C 2014 - Bangalore, India
Duration: 21-11-201422-11-2014

Conference

Conference2014 International Conference on Circuits, Communication, Control and Computing, I4C 2014
CountryIndia
CityBangalore
Period21-11-1422-11-14

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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    Ravindra, B. V., Sriraam, N., & Geetha, M. (2014). Discovery of significant parameters in kidney dialysis data sets by K-means algorithm. In Proceedings of International Conference on Circuits, Communication, Control and Computing, I4C 2014 (pp. 452-454). [7057843] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIMCA.2014.7057843