Title | ||
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Prediction of Nocturnal Hypoglycemia in Adults with Type 1 Diabetes under Multiple Daily Injections Using Continuous Glucose Monitoring and Physical Activity Monitor. |
Abstract | ||
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(1) Background: nocturnal hypoglycemia (NH) is one of the most challenging side effects of multiple doses of insulin (MDI) therapy in type 1 diabetes (T1D). This work aimed to investigate the feasibility of a machine-learning-based prediction model to anticipate NH in T1D patients on MDI. (2) Methods: ten T1D adults were studied during 12 weeks. Information regarding T1D management, continuous glucose monitoring (CGM), and from a physical activity tracker were obtained under free-living conditions at home. Supervised machine-learning algorithms were applied to the data, and prediction models were created to forecast the occurrence of NH. Individualized prediction models were generated using multilayer perceptron (MLP) and a support vector machine (SVM). (3) Results: population outcomes indicated that more than 70% of the NH may be avoided with the proposed methodology. The predictions performed by the SVM achieved the best population outcomes, with a sensitivity and specificity of 78.75% and 82.15%, respectively. (4) Conclusions: our study supports the feasibility of using ML techniques to address the prediction of nocturnal hypoglycemia in the daily life of patients with T1D on MDI, using CGM and a physical activity tracker. |
Year | DOI | Venue |
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2020 | 10.3390/s20061705 | SENSORS |
Keywords | DocType | Volume |
artificial neural network,hypoglycemia,machine learning,support vector machine,type 1 diabetes,multiple daily injections,continuous glucose monitoring | Journal | 20 |
Issue | ISSN | Citations |
6.0 | 1424-8220 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Arthur Bertachi | 1 | 2 | 2.41 |
Clara Viñals | 2 | 0 | 0.34 |
Lyvia Biagi | 3 | 4 | 2.54 |
Ivan Contreras | 4 | 307 | 17.90 |
Josep Vehí | 5 | 72 | 18.72 |
Ignacio Conget | 6 | 2 | 1.06 |
Marga Giménez | 7 | 0 | 0.34 |