An Enhanced Predictive Health Care Analytics in Data Mining Techniques for Chronic Kidney Diseases

@article{Dr2021AnEP,
  title={An Enhanced Predictive Health Care Analytics in Data Mining Techniques for Chronic Kidney Diseases},
  author={A.S.Shanthakumari Dr and R.Jayakarthik},
  journal={2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)},
  year={2021},
  pages={309-317},
  url={https://api.semanticscholar.org/CorpusID:235617503}
}
  • A.S.Shanthakumari DrR.Jayakarthik
  • Published in 3 June 2021
  • Medicine, Computer Science
  • 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)
Predictive analytics on the health care system on chronic kidney diseases based on data mining techniques using an enhanced radial basis algorithm is used to predict the enhanced radial based algorithm's performance evaluation to be effective and efficient.
Abstract
Digital World in the cyber network mainly focused on the exploration of data in various applications. The application of the health care system provides a gradual growth in the development of the cyber world. This paper is mainly involved in data mining techniques, classified into two categories, such as prediction and classification. In Prediction, predictive analytics were considered for the health care system, which likely to happen. This paper focused on two categories, such as Predictive analytics on the health care system on chronic kidney diseases based on data mining techniques using an enhanced radial basis algorithm. It's also used to predict the enhanced radial basis algorithm's performance evaluation to be effective and efficient.

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