Name
Title | ||
|---|---|---|
Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes using Binary Classifiers. |
Abstract | ||
|---|---|---|
In type 1 diabetes management, maintaining nocturnal blood glucose within target range can be challenging. Although semi-automatic systems to modulate insulin pump delivery, such as low-glucose insulin suspension and the artificial pancreas, are starting to become a reality, their elevated cost and performance below user expectations is hindering their adoption. Hence, a decision support system th... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/JBHI.2019.2938305 | IEEE Journal of Biomedical and Health Informatics |
Keywords | DocType | Volume |
Feature extraction,Insulin,Sugar,Diabetes,Blood,Decision support systems,Insulin pumps | Journal | 24 |
Issue | ISSN | Citations |
5 | 2168-2194 | 1 |
PageRank | References | Authors |
0.36 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amparo Guemes | 1 | 1 | 0.36 |
| Giacomo Cappon | 2 | 2 | 2.08 |
| Bernard Hernandez | 3 | 1 | 0.36 |
| Monika Reddy | 4 | 23 | 3.45 |
| Nick Oliver | 5 | 24 | 4.14 |
| Pantelis Georgiou | 6 | 111 | 50.64 |
| Pau Herrero | 7 | 6 | 2.83 |