Kernelized k-Local Hyperplane Distance Nearest-Neighbor Model for Predicting Cerebrovascular Disease in Patients With End-Stage Renal Disease

Detecting and treating cerebrovascular diseases are essential for the survival of patients with chronic kidney disease (CKD). Machine learning algorithms can be used to effectively predict stroke risk in patients with end-stage renal disease (ESRD). An imbalance in the amount of collected data assoc...

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Detalles Bibliográficos
Autores principales: Liu, Xiaobin, Zhang, Xiran, Zhang, Yi, Ding, Yijie, Shan, Weiwei, Huang, Yiqing, Wang, Liang, Guo, Xiaoyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573245/
https://www.ncbi.nlm.nih.gov/pubmed/34759797
http://dx.doi.org/10.3389/fnins.2021.773208

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573245/
https://www.ncbi.nlm.nih.gov/pubmed/34759797
http://dx.doi.org/10.3389/fnins.2021.773208

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