![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
"A 3D insulin sensitivity prediction model enables more patient-specific ..."
Vincent Uyttendaele et al. (2018)
- Vincent Uyttendaele
, Jennifer L. Knopp, Kent W. Stewart
, Thomas Desaive, Balázs Benyó
, Noémi Szabó-Némedi, Attila Illyés, Geoffrey M. Shaw, J. Geoffrey Chase
:
A 3D insulin sensitivity prediction model enables more patient-specific prediction and model-based glycaemic control. Biomed. Signal Process. Control. 46: 192-200 (2018)
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.