Evaluation of a Prediction-Based Bedtime Intervention in Reducing Nocturnal Low Glucose in Adults with Type 1 Diabetes: The DailyDose Bedtime Smart Snack Cross-over Study

Evaluation of a Prediction-Based Bedtime Intervention in Reducing Nocturnal Low Glucose in Adults with Type 1 Diabetes: The DailyDose Bedtime Smart Snack Cross-over Study

<p dir="ltr">OBJECTIVE Nocturnal hypoglycemia is challenging for people with type 1 diabetes, particularly those physically active or using multiple daily injections (MDI). We hypothesized that adding bedtime decision-support to usual care with continuous glucose monitoring (CGM)-aug...

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Bibliographische Detailangaben
1. Verfasser: Clara Mosquera-Lopez (21701573) (author)
Weitere Verfasser: Valentina Roquemen-Echeverri (21701574) (author), Peter G. Jacobs (21701575) (author), Katrina Ramsey (6550106) (author), Joseph Pinsonault (21701578) (author), Jae Eom (21701579) (author), Hantao Ling (13870969) (author), Daisy Chen (21701581) (author), Deborah Branigan (9247809) (author), Jessica R. Castle (21701584) (author), Korey K. Hood (20136495) (author), Melanie B. Gillingham (228897) (author), Diana Aby-Daniel (21701587) (author), Leah M. Wilson (21701589) (author)
Veröffentlicht: 2025
Schlagworte:
Other health sciences not elsewhere classified
Advisory Systems
Artificial Intelligence (AI)
Bedtime
Neural Networks
Nocturnal Glycemia
Hypoglycemia
Hypoglycemia Prevention and Exercise
Machine Learning
Decision Support
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