Handling Missing Values in Chronic Kidney Disease Datasets Using KNN, K-Means and K-Medoids Algorithms-Reference-Cited by-同舟云学术

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Handling Missing Values in Chronic Kidney Disease Datasets Using KNN, K-Means and K-Medoids Algorithms

Published:2018-12 Issue: Volume: Page:
ISSN:
Container-title:2018 12th International Conference on Open Source Systems and Technologies (ICOSST)
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Author:

Mahboob Tahira,Ijaz Aimen,Shahzad Amber,Kalsoom Muqadas

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8624241/8632002/08632179.pdf?arnumber=8632179

Cited by 18 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

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3. Decision Tree-Based Explainable AI for Diagnosis of Chronic Kidney Disease;2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA);2023-08-03

4. Median-KNN Regressor-SMOTE-Tomek Links for Handling Missing and Imbalanced Data in Air Quality Prediction;Symmetry;2023-04-09

5. Chronic Kidney Disease Prediction Techniques: A Survey;2023 3rd International Conference on Smart Data Intelligence (ICSMDI);2023-03

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