Name
Title | ||
|---|---|---|
Blood glucose concentration prediction based on kernel canonical correlation analysis with particle swarm optimization and error compensation. |
Abstract | ||
|---|---|---|
•Kernel CCA is used for the first time to predict blood glucose concentration.•The PSO algorithm is used to assist the parameter adjustment in KCCA, thereby further reducing the error.•This paper proposes an error compensation method to effectively shorten the prediction time lag and reduce the error evidently.•The threshold for early warning of hypoglycemia is adjusted appropriately. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.cmpb.2020.105574 | Computer Methods and Programs in Biomedicine |
Keywords | DocType | Volume |
Canonical correlation analysis,Kernel function,Particle swarm optimization,Blood glucose prediction,Error compensation,Hypoglycemic warning | Journal | 196 |
ISSN | Citations | PageRank |
0169-2607 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinli He | 1 | 0 | 0.34 |
| Youqing Wang | 2 | 220 | 25.81 |