ArticleJournal of diabetes science and technology2022
A New Meal Absorption Model for Artificial Pancreas Systems.
Article in Journal of diabetes science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- An automatic deep reinforcement learning bolus calculator for automated insulin delivery systems.Scientific reports · 2024Article
- Deep Learning-Based Glucose Prediction Models: A Guide for Practitioners and a Curated Dataset for Improved Diabetes Management.IEEE open journal of engineering in medicine and biology · 2024Article
- Continuous glucose monitoring for automatic real-time assessment of eating events and nutrition: a scoping review.Frontiers in nutrition · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
backgroundArtificial pancreas (AP) systems reduce the treatment burden of Type 1 Diabetes by automatically regulating blood glucose (BG) levels. While many disturbances stand in the way of fully closed-loop (automated) control, unannounced meals remain the greatest challenge. Furthermore, different types of meals can have significantly different glucose responses, further increasing the uncertainty surrounding the meal.
methodsEffective attenuation of a meal requires quick
resultsUsing gold-standard triple tracer meal data, the proposed VH model is compared to three simpler second-order response models. The proposed VH model increased model fit capacity by 22% and prediction accuracy by 12% relative to the next best models. A 47% increase in the accuracy of uncertainty predictions was also found. In a simple control scenario, the controller governed by the proposed VH model provided insulin just as fast or faster than the controller governed by the other models in four out of the six meals. While the controllers governed by the other models all delivered at least a 25% excess of insulin at their worst, the VH model controller only delivered 9% excess at its worst.
conclusionsThe VH Model performed best in accuracy metrics and succeeded over the other models in providing insulin quickly
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.