Evaluation of Glomerular Filtration Rate in Chronic Kidney Disease by Radial Basis Function Neural Network.

Journal: Transplantation proceedings

PMID: 32199650

Abstract

OBJECTIVE: To develop a radial basis function (RBF) neural network and investigate its performance in the estimation of glomerular filtration rate (GFR) for patients with chronic kidney disease.

Authors

Jing Xu

First Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, China.
Buyuan Guo

The Second Affiliated Hospital of Dalian Medical University, Dalian City, Liaoning Province, China.
Chunyan Liu

Chengdu Kuafu Technology Co., Ltd., Chengdu 610100, China.

Keywords

Adult Aged Female Glomerular Filtration Rate Humans Kidney Kidney Function Tests Male Middle Aged Neural Networks, Computer Renal Insufficiency, Chronic

External Resources

View on PubMed Access via DOI PubMed (32199650)

Evaluation of Glomerular Filtration Rate in Chronic Kidney Disease by Radial Basis Function Neural Network.

Abstract

Authors

Keywords

External Resources

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