Personalized data-driven prediction algorithms for glycemic trend
An important aspect of diabetes management is controlling the glucose level. A step towards achieving the control is monitoring and taking actions (e.g., administering insulin) to avoid dangerous levels. Predicting future values may allow the user to be alerted when an action is needed. This thesis...
| Permalink: | http://skupni.nsk.hr/Record/fer.KOHA-OAI-FER:52968 |
|---|---|
| Glavni autor: | Žulj, Sara (-) |
| Ostali autori: | Magjarević, Ratko (Thesis advisor), Carvalho, Paulo de (Professor of informatics engineering) |
| Vrsta građe: | Knjiga |
| Jezik: | eng |
| Impresum: |
Zagreb :
S. Žulj ; Faculty of electrical engineering and computing,
2022.
|
Središnja knjižnica - KF
| Signatura: |
KF-5270 |
|---|---|
| Primjerak SRE_41308 |
Dostupno |