Predicting transitional interval of kidney disease stages 3 to 5 using data mining method

Author:

Panwong Patcharaporn,Iam-On Natthakan

Publisher

IEEE

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Novel Method to Predict Chronic Kidney Disease using Optimized Deep Learning Algorithm;2024 21st Learning and Technology Conference (L&T);2024-01-15

2. Prediction of Abnormality in Kidney Function Using Classification Techniques and Fuzzy Systems;Lecture Notes in Networks and Systems;2024

3. Hemodialysis Patient Death Prediction Using Logistic Regression;International Journal of Online and Biomedical Engineering (iJOE);2023-07-07

4. Early Stage Forcast of CKD Using ML Classifiers;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

5. Classifying the Status of CKD Using Randomized Weighted Optimization Model Using Machine Learning Techniques;2023 International Conference on Computer Communication and Informatics (ICCCI);2023-01-23

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