Assessing Dry Weight of Hemodialysis Patients via Sparse Laplacian Regularized RVFL Neural Network with L2,1-Norm

Dry weight is the normal weight of hemodialysis patients after hemodialysis. If the amount of water in diabetes is too much (during hemodialysis), the patient will experience hypotension and shock symptoms. Therefore, the correct assessment of the patient’s dry weight is clinically important. These...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	BioMed research international 2021, Vol.2021, p.6627650-6627650
Hauptverfasser:	Guo, Xiaoyi, Zhou, Wei, Lu, Qun, Du, Aiyan, Cai, Yinghua, Ding, Yijie
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Blood pressure Body composition Body mass Body mass index Body size Cancer Datasets Deep learning Diabetes Diabetes mellitus Dialysis DNA methylation Dry weight Heart rate Hemodialysis Hypotension Learning algorithms Machine learning Mathematical models Methods MicroRNAs Moisture content Neural networks Patients Root-mean-square errors Technicians Water content Weight
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!