A Literature Review on Kidney Disease Prediction using Data Mining Classification Technique

@inproceedings{Eyck2014ALR,
  title={A Literature Review on Kidney Disease Prediction using Data Mining Classification Technique},
  author={Jelle Van Eyck and Jan. Ramon and Fabian. Guiza and Geert Meyfroidt and Morteza Khavanin Zadeh},
  year={2014}
}
-The huge amounts of data generated by healthcare transactions are too complex and voluminous to be processed and analyzed by traditional methods. Data mining provides the methodology and technology to transform these mounds of data into useful information for decision making. The Healthcare industry is generally “information rich”, which is not feasible to handle manually. These large amounts of data are very important in the field of data mining to extract useful information and generate… CONTINUE READING
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Predicting transitional interval of kidney disease stages 3 to 5 using data mining method

2016 Second Asian Conference on Defence Technology (ACDT) • 2016
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Detection of chronic kidney disease by using ensemble classifiers

2017 10th International Conference on Electrical and Electronics Engineering (ELECO) • 2017
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