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Effective management of Type 1 Diabetes requires continuous glucose monitoring and precise insulin adjustments to prevent hyperglycemia and hypoglycemia. With the growing adoption of wearable glucose monitors and mobile health applications,…

机器学习 · 计算机科学 2026-01-22 Giorgia Rigamonti , Mirko Paolo Barbato , Davide Marelli , Paolo Napoletano

People with type 1 diabetes (T1D) lack the ability to produce the insulin their bodies need. As a result, they must continually make decisions about how much insulin to self-administer to adequately control their blood glucose levels.…

机器学习 · 计算机科学 2020-09-22 Ian Fox , Joyce Lee , Rodica Pop-Busui , Jenna Wiens

People with Type 1 diabetes (T1D) require regular exogenous infusion of insulin to maintain their blood glucose concentration in a therapeutically adequate target range. Although the artificial pancreas and continuous glucose monitoring…

信号处理 · 电气工程与系统科学 2020-09-08 Taiyu Zhu , Kezhi Li , Pau Herrero , Pantelis Georgiou

In this paper we investigate the use of model-based reinforcement learning to assist people with Type 1 Diabetes with insulin dose decisions. The proposed architecture consists of multiple Echo State Networks to predict blood glucose levels…

Type 1 diabetes (T1D) management can be significantly enhanced through the use of predictive machine learning (ML) algorithms, which can mitigate the risk of adverse events like hypoglycemia. Hypoglycemia, characterized by blood glucose…

定量方法 · 定量生物学 2025-04-02 Beyza Cinar , Jennifer Daniel Onwuchekwa , Maria Maleshkova

Type 1 Diabetes (T1D) is an autoimmune disease leading to insulin insufficiency. Thus, patients require lifelong insulin therapy, which has a side effect of hypoglycemia. Hypoglycemia is a critical state of decreased blood glucose levels…

机器学习 · 计算机科学 2026-01-21 Beyza Cinar , Louisa van den Boom , Maria Maleshkova

Simulating glucose dynamics in individuals with type 1 diabetes (T1D) is critical for developing personalized treatments and supporting data-driven clinical decisions. Existing models often miss key physiological aspects and are difficult…

定量方法 · 定量生物学 2026-04-16 Valentina Roquemen-Echeverri , Taisa Kushner , Peter G. Jacobs , Clara Mosquera-Lopez

Type 1 Diabetes (T1D) affects millions worldwide, requiring continuous monitoring to prevent severe hypo- and hyperglycemic events. While continuous glucose monitoring has improved blood glucose management, deploying predictive models on…

机器学习 · 计算机科学 2025-11-27 Mirko Paolo Barbato , Giorgia Rigamonti , Davide Marelli , Paolo Napoletano

Control of blood glucose is essential for diabetes management. Current digital therapeutic approaches for subjects with Type 1 diabetes mellitus (T1DM) such as the artificial pancreas and insulin bolus calculators leverage machine learning…

计算机视觉与模式识别 · 计算机科学 2019-02-27 Kezhi Li , John Daniels , Chengyuan Liu , Pau Herrero , Pantelis Georgiou

High quality real world datasets are essential for advancing data driven approaches in type 1 diabetes (T1D) management, including personalized therapy design, digital twin systems, and glucose prediction models. However, progress in this…

机器学习 · 计算机科学 2025-06-19 Saman Khamesian , Asiful Arefeen , Bithika M. Thompson , Maria Adela Grando , Hassan Ghasemzadeh

Progress in Type 1 Diabetes (T1D) algorithm development is limited by the fragmentation and lack of standardization across existing T1D management datasets. Current datasets differ substantially in structure and are time-consuming to access…

机器学习 · 计算机科学 2026-04-23 Miriam K. Wolff , Peter Calhoun , Eleonora Maria Aiello , Yao Qin , Sam F. Royston

Type 1 Diabetes is a chronic autoimmune condition in which the immune system attacks and destroys insulin-producing beta cells in the pancreas, resulting in little to no insulin production. Insulin helps glucose in your blood enter your…

定量方法 · 定量生物学 2025-02-04 Soon Jynn Chu , Nalaka Amarasiri , Sandesh Giri , Priyata Kafle

Automated insulin delivery for Type 1 Diabetes must balance glucose control and safety under uncertain meals and physiological variability. While reinforcement learning (RL) enables adaptive personalization, existing approaches struggle to…

机器学习 · 计算机科学 2026-01-23 Yushen Liu , Yanfu Zhang , Xugui Zhou

To avoid serious diabetic complications, people with type 1 diabetes must keep their blood glucose levels (BGLs) as close to normal as possible. Insulin dosages and carbohydrate consumption are important considerations in managing BGLs.…

机器学习 · 计算机科学 2021-05-19 Jeremy Beauchamp , Razvan Bunescu , Cindy Marling , Zhongen Li , Chang Liu

We consider the question of 30-minute prediction of blood glucose levels measured by continuous glucose monitoring devices, using clinical data. While most studies of this nature deal with one patient at a time, we take a certain percentage…

机器学习 · 计算机科学 2017-07-20 H. N. Mhaskar , S. V. Pereverzyev , M. D. van der Walt

In this paper, models of the blood glucose (BG) dynamics in people with Type 1 diabetes (T1D) in response to moderate intensity aerobic activity are derived from physiology-based first principles and system identification experiments. We…

系统与控制 · 电气工程与系统科学 2023-07-18 Mehrad Jaloli , Marzia Cescon

Type 1 Diabetes (T1D) management requires continuous adjustment of insulin and lifestyle behaviors to maintain blood glucose within a safe target range. Although automated insulin delivery (AID) systems have improved glycemic outcomes, many…

Type 1 diabetes (T1D) is an autoimmune disorder that leads to the destruction of insulin-producing cells, resulting in insulin deficiency, as to why the affected individuals depend on external insulin injections. However, insulin can…

机器学习 · 计算机科学 2026-04-27 Beyza Cinar , Maria Maleshkova

Calculating mealtime insulin doses poses a significant challenge for individuals with Type 1 Diabetes (T1D). Doses should perfectly compensate for expected post-meal glucose excursions, requiring a profound understanding of the individual's…

定量方法 · 定量生物学 2024-06-24 Anas El Fathi , Elliott Pryor , Marc D. Breton

We develop a new model of insulin-glucose dynamics for forecasting blood glucose in type 1 diabetics. We augment an existing biomedical model by introducing time-varying dynamics driven by a machine learning sequence model. Our model…

机器学习 · 统计学 2020-08-10 Andrew C. Miller , Nicholas J. Foti , Emily Fox
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