Cluster Analysis of Mixed and Missing Chronic Kidney Disease Data in KwaZulu-Natal Province, South Africa
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9312710/09389736.pdf?arnumber=9389736
Cited by 6 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. Prediction of metabolic syndrome and its associated risk factors in patients with chronic kidney disease using machine learning techniques;Brazilian Journal of Nephrology;2024-12
2. Predição de síndrome metabólica e seus fatores de risco associados em pacientes com doença renal crônica utilizando técnicas de machine learning;Brazilian Journal of Nephrology;2024-12
3. Using a Decision Tree for the Clustering Problem;2024 International Russian Smart Industry Conference (SmartIndustryCon);2024-03-25
4. MPCITL: design of an efficient multimodal engine for Pre-emptive identification of CKD via incremental transfer learning on clinical data samples;Soft Computing;2023-06-26
5. A review of the current publication trends on missing data imputation over three decades: direction and future research;Neural Computing and Applications;2022-08-18
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