Prediction of Nocturnal Hypoglycemia From Continuous Glucose Monitoring Data in People With Type 1 Diabetes: A Proof-of-Concept Study.
Morten Hasselstrøm JensenClaus DethlefsenPeter VestergaardOle HejlesenPublished in: Journal of diabetes science and technology (2019)
It was possible to predict nocturnal hypoglycemic episodes with a ROC-AUC of 0.79. A warning at bedtime about nocturnal hypoglycemia could be of great help for people with diabetes to enable preventive actions. Further development of the proposed algorithm is needed for implementation in everyday practice.
Keyphrases
- type diabetes
- blood pressure
- obstructive sleep apnea
- glycemic control
- sleep apnea
- primary care
- sleep quality
- healthcare
- cardiovascular disease
- quality improvement
- machine learning
- electronic health record
- deep learning
- metabolic syndrome
- insulin resistance
- adipose tissue
- weight loss
- physical activity
- artificial intelligence