Subspace-based linear multi-step predictors in type 1 diabetes mellitus-Reference-Cited by-同舟云学术

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Subspace-based linear multi-step predictors in type 1 diabetes mellitus

Published:2015-09 Issue: Volume:22 Page:99-110
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Cescon Marzia,Johansson Rolf,Renard Eric

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference39 articles.

1. Handbook of Diabetes;Williams,1992

2. Standards of Medical Care in Diabetes 2013;The American Diabetes Association;Diabetes Care,2013

3. The DIAdvisor™;DIAdvisor,2012

4. Review and analysis of blood glucose (bg) models in type 1 diabetic patients;Balakrishnan;Ind. Eng. Chem. Res.,2011

5. The impact of mathematical modeling on the understanding of diabetes and realted complications;Ajmera;CPT Pharmacomet. Syst. Pharmacol.,2013

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1. Blood Glucose Prediction from Nutrition Analytics in Type 1 Diabetes: A Review;Nutrients;2024-07-10

2. Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes;Applied Soft Computing;2023-02

3. A Multi-Agent Approach Used to Predict Long-Term Glucose Oscillation in Individuals with Type 1 Diabetes;Applied Sciences;2022-09-26

4. An autonomous channel deep learning framework for blood glucose prediction;Applied Soft Computing;2022-05

5. Long-term Prediction of Blood Glucose Levels in Type 1 Diabetes Using a CNN-LSTM-Based Deep Neural Network;Journal of Diabetes Science and Technology;2022-04-25

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