Evaluation of insulin sensitivity temporal prediction by using quantile regression combined with neural network model

The QR-based method was found to be appropriate for the SI prediction problem in short-term predictions which may improve the STAR protocol's clinical outcomes. Overall, the study provides a generalisable, empirical approach to network configuration optimisation for similar problems.

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Publication Details

Journal
International Journal of Medical Informatics
Published
2025-05-09
DOI
https://doi.org/10.1016/j.ijmedinf.2025.105964
Citations
1
Primary Topic
Hyperglycemia and glycemic control in critically ill and hospitalized patients
Type
article
Field-Weighted Citation Impact
1.29
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article

Evaluation of insulin sensitivity temporal prediction by using quantile regression combined with neural network model

Balázs Benyó, Omer S. Alkhafaf, J. Geoffrey Chase
1 citations
International Journal of Medical Informatics
Hyperglycemia and glycemic control in critically ill and hospitalized patients
1.29
article

Evaluation of insulin sensitivity temporal prediction by using quantile regression combined with neural network model

Balázs Benyó, Omer S. Alkhafaf, J. Geoffrey Chase
article en
1 citations

Abstract

The QR-based method was found to be appropriate for the SI prediction problem in short-term predictions which may improve the STAR protocol's clinical outcomes. Overall, the study provides a generalisable, empirical approach to network configuration optimisation for similar problems.

International Journal of Medical InformaticsVol. 202
University of Mosul (IQ), University of Canterbury (NZ), Budapest University of Technology and Economics (HU)
Zero hunger
Openalex Percentile: Top 20%
Hyperglycemia and glycemic control in critically ill and hospitalized patients
1.29
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