A Glucose Model Based on Support Vector Regression for the Prediction of Hypoglycemic Events Under Free-Living Conditions-Reference-Cited by-同舟云学术

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A Glucose Model Based on Support Vector Regression for the Prediction of Hypoglycemic Events Under Free-Living Conditions

Published:2013-08 Issue:8 Volume:15 Page:634-643
ISSN:1520-9156
Container-title:Diabetes Technology & Therapeutics
language:en
Short-container-title:Diabetes Technology & Therapeutics

Author:

Georga Eleni I.¹,Protopappas Vasilios C.²,Ardigò Diego³,Polyzos Demosthenes²,Fotiadis Dimitrios I.¹

Affiliation:

1. Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece.

2. Department of Mechanical Engineering and Aeronautics, University of Patras, Patras, Greece.

3. Department of Internal Medicine, University of Parma, Parma, Italy.

Publisher

Mary Ann Liebert Inc

Subject

Medical Laboratory Technology,Endocrinology,Endocrinology, Diabetes and Metabolism

Link

http://www.liebertpub.com/doi/pdf/10.1089/dia.2012.0285

Reference37 articles.

1. The Effect of Intensive Treatment of Diabetes on the Development and Progression of Long-Term Complications in Insulin-Dependent Diabetes Mellitus

2. The Barrier of Hypoglycemia in Diabetes

3. Hypoglycemia in Diabetes

4. Exercise-Related Hypoglycemia-Associated Autonomic Failure in Diabetes

5. Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series

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2. Generalization of a Deep Learning Model for Continuous Glucose Monitoring–Based Hypoglycemia Prediction: Algorithm Development and Validation Study;JMIR Medical Informatics;2024-05-24

3. Machine Learning Approach to Metabolomic Data Predicts Type 2 Diabetes Mellitus Incidence;International Journal of Molecular Sciences;2024-05-14

4. Ensemble machine learning reveals key features for diabetes duration from electronic health records;PeerJ Computer Science;2024-02-26

5. Predictive Activity Modelling of Glucose (Pam-G): A Study of Type 1 Diabetes in Free-Living;2024

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