Title | ||
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A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives. |
Abstract | ||
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This paper illustrates the development and the applicability of an Evolutionary Computation approach to enhance the treatment of Type-1 diabetic patients that necessitate insulin injections. In fact, being such a disease associated to a malfunctioning pancreas that generates an insufficient amount of insulin, a way to enhance the quality of life of these patients is to implement an artificial pancreas able to artificially regulate the insulin dosage. This work aims at extrapolating a regression model, capable of estimating the blood glucose (BG) through interstitial glucose (IG) measurements and their numerical first derivatives. Such an approach represents a viable preliminary stage in building the basic component of this artificial pancreas. In particular, considered the high complexity of the reciprocal interactions, an evolutionary-based strategy is outlined to extrapolate a mathematical relationship between BG and IG and its derivative. The investigation is carried out about the accuracy of personalized models and of a global relationship model for all of the subjects under examination. The discovered models are assessed through a comparison with other models during the experiments on personalized and global data. |
Year | DOI | Venue |
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2019 | 10.1016/j.asoc.2019.01.020 | Applied Soft Computing |
Keywords | Field | DocType |
Blood glucose estimation,Interstitial glucose,Regression models,Genetic programming | Artificial pancreas,Regression,Regression analysis,Evolutionary computation,Genetic programming,Artificial intelligence,Insulin,Mathematics,Glucose Measurement,Machine learning | Journal |
Volume | ISSN | Citations |
77 | 1568-4946 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ivanoe De Falco | 1 | 242 | 34.58 |
Antonio Della Cioppa | 2 | 141 | 20.70 |
A. Giugliano | 3 | 0 | 0.34 |
Angelo Marcelli | 4 | 139 | 32.42 |
Tomas Koutny | 5 | 8 | 5.36 |
Michal Krcma | 6 | 1 | 1.72 |
Umberto Scafuri | 7 | 116 | 16.33 |
Ernesto Tarantino | 8 | 361 | 42.45 |