Diabetic blood glucose prediction using Machine Learning
| dc.contributor.author | Fadoua, Houichi | |
| dc.contributor.author | Supervisor: Lamri, Sayad | |
| dc.date.accessioned | 2025-07-08T09:17:44Z | |
| dc.date.available | 2025-07-08T09:17:44Z | |
| dc.date.issued | 2025-06-15 | |
| dc.description.abstract | As we reach the end of this journey, the value of artificial intelligence especially Machine Learning and Deep Learning in addressing chronic medical challenges becomes unmistakably clear. This project was never just about predicting blood glucose levels; it was about empowering diabetic patients with a smarter, more personalized way to manage their condition. By blending scientific rigor with practical implementation and user centric design, we’ve taken a meaningful step toward a future where data driven insights support daily healthcare decisions. While there is still much to explore, this work sets a solid foundation for further innovations in blood glucose prediction and intelligent medical assistance systems. | |
| dc.identifier.uri | https://repository.univ-msila.dz/handle/123456789/46766 | |
| dc.language.iso | en | |
| dc.publisher | Mohamed Boudiaf University of M'sila | |
| dc.subject | Blood glucose prediction | |
| dc.subject | Diabetes | |
| dc.subject | Machine Learning | |
| dc.subject | Deep Learning | |
| dc.title | Diabetic blood glucose prediction using Machine Learning | |
| dc.type | Thesis |