HeipoxContinuousGlucoseMonitoring
| dc.contributor.author | Bounouri, Nadjet | |
| dc.contributor.author | Belkacem, Amani | |
| dc.contributor.author | Derdour, Amira | |
| dc.date.accessioned | 2025-10-09T08:32:49Z | |
| dc.date.available | 2025-10-09T08:32:49Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | This thesis is part of the design and development of a diabetes management app. The aim is to develop an app for continuous blood glucose monitoring, predicting blood glucose levels and informing the user in case of an emergency. The app should be simple and easy to use for all age groups. When developing our application, we used the JAVA programming language, within the Android Studio development environment, in addition to the Python programming language. We used the NOSQL database management engine and the UML modeling language | en_US |
| dc.identifier.uri | http://e-biblio.univ-mosta.dz/handle/123456789/29408 | |
| dc.language.iso | en | en_US |
| dc.relation.ispartofseries | MINF403; | |
| dc.subject | Diabetes management | en_US |
| dc.subject | Blood glucose monitoring | en_US |
| dc.subject | Blood glucose prediction | en_US |
| dc.subject | Emergency alerts | en_US |
| dc.subject | User-friendly application | en_US |
| dc.subject | Multi-age usability | en_US |
| dc.subject | JAVA programming | en_US |
| dc.subject | Android Studio | en_US |
| dc.subject | Python | en_US |
| dc.subject | NOSQL database | en_US |
| dc.subject | UML modeling | en_US |
| dc.title | HeipoxContinuousGlucoseMonitoring | en_US |
| dc.type | Other | en_US |