Name
Abstract | ||
|---|---|---|
We consider an assessment of various insulin control systems through classification by means of different performance characteristics, such as risk of hypoglycemia, hyperglycemia and overall risk. The approach is based on specific, measured patient data under standard insulin therapy. An adaptive prediction technique is used to estimate the differences in blood glucose values produced by control actions that differ from the standard therapy. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CDC.2011.6161204 | CDC-ECE |
Keywords | Field | DocType |
diseases,medical control systems,patient diagnosis,pattern classification,prediction theory,sugar,adaptive prediction technique,blood glucose values,control actions,insulin control system,patient data,patient-specific performance evaluation,performance characteristics,standard insulin therapy | Biomedical engineering,Specific performance,Control theory,Computer science,Bioinformatics,Control system,Insulin,Hypoglycemia | Conference |
ISSN | Citations | PageRank |
0743-1546 | 2 | 0.47 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anastasia Winkler | 1 | 14 | 2.31 |
| Harald Kirchsteiger | 2 | 33 | 5.62 |
| Luigi del Re | 3 | 131 | 31.55 |
| Eric Renard | 4 | 12 | 1.99 |