Analysis and comparison for prediction of chronic kidney disease using convolution neural network algorithm over support vector machine algorithm
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Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0152914
Reference11 articles.
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2. A dynamic pooling based convolutional neural network approach to detect chronic kidney disease
3. Diabetic Nephropathy and CKD—Analysis of Individual Patient Serum Creatinine Trajectories: A Forgotten Diagnostic Methodology for Diabetic CKD Prognostication and Prediction
4. Ekanayake, I. U., & Herath, D. (2020, July). Chronic kidney disease prediction using machine learning methods. In 2020 Moratuwa Engineering Research Conference (MERCon) (pp. 260–265). IEEE.
5. Diagnosis Rule Extraction from Patient Data for Chronic Kidney Disease Using Machine Learning
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1. Comparative Analysis of Machine Learning Algorithms for Early Detection of Chronic Kidney Disease: Performance Evaluation and Insights;2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2024-07-18
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