Blood glucose concentration prediction based on VMD-KELM-AdaBoost
Blood glucose concentration prediction based on VMD-KELM-AdaBoost
About this item
Full title
Author / Creator
Wenbo, Wang , Yang, Shen and Guici, Chen
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
The time series of blood glucose concentration in diabetic patients are time-varying, nonlinear, and non-stationary. In order to improve the accuracy of blood glucose prediction, a multi-scale combination short-term blood glucose prediction model was constructed by combining the variational mode decomposition (VMD) method, the kernel extreme learni...
Alternative Titles
Full title
Blood glucose concentration prediction based on VMD-KELM-AdaBoost
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_2572229379
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2572229379
Other Identifiers
ISSN
0140-0118
E-ISSN
1741-0444
DOI
10.1007/s11517-021-02430-x
