Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to …
JG Chase, JC Preiser, JL Dickson, A Pironet… - Biomedical engineering …, 2018 - Springer
Critical care, like many healthcare areas, is under a dual assault from significantly
increasing demographic and economic pressures. Intensive care unit (ICU) patients are …
increasing demographic and economic pressures. Intensive care unit (ICU) patients are …
Convolutional recurrent neural networks for glucose prediction
Control of blood glucose is essential for diabetes management. Current digital therapeutic
approaches for subjects with type 1 diabetes mellitus such as the artificial pancreas and …
approaches for subjects with type 1 diabetes mellitus such as the artificial pancreas and …
Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction
Background Blood glucose (BG) management is crucial for type-1 diabetes patients
resulting in the necessity of reliable artificial pancreas or insulin infusion systems. In recent …
resulting in the necessity of reliable artificial pancreas or insulin infusion systems. In recent …
Combining continuous glucose monitoring and insulin pumps to automatically tune the basal insulin infusion in diabetes therapy: a review
M Vettoretti, A Facchinetti - Biomedical engineering online, 2019 - Springer
For individuals affected by Type 1 diabetes (T1D), a chronic disease in which the pancreas
does not produce any insulin, maintaining the blood glucose (BG) concentration as much as …
does not produce any insulin, maintaining the blood glucose (BG) concentration as much as …
GluNet: A deep learning framework for accurate glucose forecasting
For people with Type 1 diabetes (T1D), forecasting of blood glucose (BG) can be used to
effectively avoid hyperglycemia, hypoglycemia and associated complications. The latest …
effectively avoid hyperglycemia, hypoglycemia and associated complications. The latest …
[图书][B] Introduction to modeling in physiology and medicine
C Cobelli, E Carson - 2019 - books.google.com
Introduction to Modeling in Physiology and Medicine, Second Edition, develops a clear
understanding of the fundamental principles of good modeling methodology. Sections show …
understanding of the fundamental principles of good modeling methodology. Sections show …
An autonomous channel deep learning framework for blood glucose prediction
T Yang, X Yu, N Ma, R Wu, H Li - Applied Soft Computing, 2022 - Elsevier
Accurate prediction of blood glucose (BG) is conducive to avoiding abnormal blood glucose
events and improving blood glucose management for Type 1 diabetes (T1D) patients …
events and improving blood glucose management for Type 1 diabetes (T1D) patients …
Machine-learning based model to improve insulin bolus calculation in type 1 diabetes therapy
Objective: This paper aims at proposing a new machine-learning based model to improve
the calculation of mealtime insulin boluses (MIB) in type 1 diabetes (T1D) therapy using …
the calculation of mealtime insulin boluses (MIB) in type 1 diabetes (T1D) therapy using …
A neural-network-based approach to personalize insulin bolus calculation using continuous glucose monitoring
Background: In type 1 diabetes (T1D) therapy, the calculation of the meal insulin bolus is
performed according to a standard formula (SF) exploiting carbohydrate intake …
performed according to a standard formula (SF) exploiting carbohydrate intake …
A personalized and adaptive insulin bolus calculator based on double deep q-learning to improve type 1 diabetes management
Mealtime insulin dosing is a major challenge for people living with type 1 diabetes (T1D).
This task is typically performed using a standard formula that, despite containing some …
This task is typically performed using a standard formula that, despite containing some …