Personalized machine learning models for noninvasive hypoglycemia detection in people with type 1 diabetes using a smartwatch: Insights into feature importance during waking and sleeping times.
Hypoglycemia is a major challenge for people with diabetes. Therefore, glycemic monitoring is an important aspect of diabetes management. However, current methods such as finger pricking and continuous glucose monitoring systems (CGMS) are invasive, and hypoglycemia has still been shown to occur des...
Saved in:
| Main Authors: | Yasmine M Mohamed, José Mancera, Andreas Brandenberg, Stefan Fischli, Michael M Havranek |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0325956 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Recurrent Hypoglycemia in a Case of Congenital Analbuminemia
by: Martin Litzel, et al.
Published: (2020-01-01) -
Functional Importance Backbones of the Brain at Rest, Wakefulness, and Sleep
by: Klaus Lehnertz, et al.
Published: (2025-07-01) -
Characteristics and Transition of Sleep–Wake Rhythm in Nursery School Children: The Importance of Nocturnal Sleep
by: Takehiro Hasegawa, et al.
Published: (2024-11-01) -
Factors Affecting Sleep and Wakefulness in People with Epilepsy: A Narrative Review
by: Dovydas Burkojus, et al.
Published: (2025-05-01) -
Salivary chromogranin a reflects autonomic regulation during “wake to sleep” and “sleep to wake” transitions
by: Kentaro Taniguchi, et al.
Published: (2025-08-01)