An Ensemble Prediction Model for Chronic Kidney Disease Using Optimizedfeature Selection
Author:
Affiliation:
1. Kongu Engineering College,Department of IT,Perundurai,Erode,Tamilnadu
2. Kongu Engineering College,Department of AI,Perundurai,Erode,Tamilnadu
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10128170/10128171/10128338.pdf?arnumber=10128338
Reference9 articles.
1. Review of Chronic Kidney Disease based on Data Mining Techniques;dilli arasu;International Journal of Applied Engineering Research,2017
2. Performance Based Evaluation of Various Machine Learning Classification Techniques for Chronic Kidney Disease Diagnosis;sharma,2016
3. Predicting transitional interval of kidney disease stages 3 to 5 using data mining method
4. Early Prediction of ChronicKidney Disease Using Machine Learning Supported by Predictive Analytics;aljaaf;2018 IEEE Congress on Evolutionary Computation (CEC),2018
5. Chronic Kidney Disease Prediction on Imbalanced Data by Multilayer Perceptron: Chronic Kidney Disease Prediction
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