Hybrid missing data imputation and novel weight convolution neural network classifier for chronic kidney disease diagnosis

Hybrid missing data imputation and novel weight convolution neural network classifier for chronic kidney disease diagnosis

CKD (chronic kidney disease) have been identified as a serious public health concern globally. Machine learning models can successfully enable physicians to reach this aim because of their rapid and accurate identification performance. In this paper, KNN (K Nearest Neighbor) imputations, which choos...

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Bibliographic Details
Main Authors:	T. Saroja, Y. Kalpana
Format:	Article
Language:	English
Published:	Elsevier 2023-06-01
Series:	Measurement: Sensors
Subjects:	Adaptive weight dynamic butterfly optimization algorithm Deep learning K-Nearest neighbor Novel weight convolution neural networks Fuzzy logic
Online Access:	http://www.sciencedirect.com/science/article/pii/S266591742300051X

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