Name
Abstract | ||
|---|---|---|
A composite model, describing the glucose/insulin dynamics following daily food administration and insulin injections in Type 1 Diabetes Mellitus patients is presented. Three daily meals have been simulated, food intake representing four different types of foodstuffs, along with three rapid-acting insulin injections and one long-acting insulin injection. Three different scenarios (depending on whether food intake and/or administration times were fixed or random) were hypothesized: simulations show a very realistic time-course for both glucose and insulin dynamics over long (20 days) and short (one day) time periods. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/SMC.2014.6974296 | Systems, Man and Cybernetics |
Keywords | Field | DocType |
patient treatment,simulation,sugar,daily food administration,diabetes mellitus,glucose profiles,glucose/insulin dynamics,insulin injections,insulin regimen,simulation,type 1 diabetic patient | Regimen,Oncology,Internal medicine,Computer science,Artificial intelligence,Insulin,Machine learning | Conference |
ISSN | Citations | PageRank |
1062-922X | 1 | 0.35 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Panunzi | 1 | 28 | 6.02 |
| Alessandro Borri | 2 | 67 | 17.69 |
| Pasquale Palumbo | 3 | 86 | 22.15 |
| Levente Kovács | 4 | 14 | 6.44 |