A systematic assessment and meta-analysis of machine learning methods for predicting and Classifying severe Long Term kidney disease
Author:
Affiliation:
1. St.Thomas College of Arts and Science,Department of Computer Application,Chennai,India
2. Vels Institute of Science Technology and Advanced Studies,Department of Computer Science,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10525677/10525695/10525982.pdf?arnumber=10525982
Reference33 articles.
1. Cascaded Regression Neural Nets for Kidney Localization and Segmentation-free Volume Estimation
2. Characterization of T Wave Amplitude, Duration and Morphology Changes During Hemodialysis: Relationship With Serum Electrolyte Levels and Heart Rate
3. In Vivo Detection of Chronic Kidney Disease Using Tissue Deformation Fields From Dynamic MR Imaging
4. Erythropoietin Dose Optimization for Anemia in Chronic Kidney Disease Using Recursive Zone Model Predictive Control
5. Identifying Important Attributes for Early Detection of Chronic Kidney Disease
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