[HTML][HTML] Classification-based deep neural network vs mixture density network models for insulin sensitivity prediction problem
Abstract Model-based glycemic control (GC) protocols are used to treat stress-induced
hyperglycaemia in intensive care units (ICUs). The STAR (Stochastic-TARgeted) glycemic …
hyperglycaemia in intensive care units (ICUs). The STAR (Stochastic-TARgeted) glycemic …
A systematic stochastic design strategy achieving an optimal tradeoff between peak BGL and probability of hypoglycaemic events for individuals having type 1 …
GC Goodwin, MM Seron, AM Medioli, T Smith… - … Signal Processing and …, 2020 - Elsevier
This paper has two key contributions. The first contribution is a systematic procedure for
fitting an envelope of models which captures a range of possible blood glucose level (BGL) …
fitting an envelope of models which captures a range of possible blood glucose level (BGL) …
Specific validation analysis of stochastic icing model based estimation of insulin sensitivity profile using clinical data
In this paper the performance of an insulin sensitivity profile estimation method is analysed
from the the aspects of clinical applicability. In our previous studies it has been …
from the the aspects of clinical applicability. In our previous studies it has been …
In-silico analysis of stochastic modelling of human blood glucose regulatory system
B Benyó - 2019 IEEE 23rd International Conference on …, 2019 - ieeexplore.ieee.org
Stress-induced hyperglycaemia, an elevated blood glucose level is a common complication
in the intensive care which can be compensated by glycaemic control. However, due to the …
in the intensive care which can be compensated by glycaemic control. However, due to the …
In-Silico Validation of Insulin Sensitivity Prediction by Neural Network-based Quantile Regression
OS Alkhafaf, AB Alsultani, AN Roel, B Szabó, P Pintár… - IFAC-PapersOnLine, 2024 - Elsevier
High blood glucose levels and stress-induced hyperglycemia are common issues in
intensive care units (ICU). Controlling blood glucose levels is crucial but challenging due to …
intensive care units (ICU). Controlling blood glucose levels is crucial but challenging due to …
Analysis of stochastic noise of blood-glucose dynamics
Introduction of the stochastic noise in the modelling of blood-glucose dynamics becoming
more and more acceptable because of the high complexity of the physiological processes …
more and more acceptable because of the high complexity of the physiological processes …
[PDF][PDF] Clinical Data Based Validation of the Stochastic Version of ICING Model
In this paper the stochastic (SDE) version of the ICING (Intensive Control Insulin-Nutrition-
Glucose) model has been tested on a cohort data set of 13 patients in a wide range of blood …
Glucose) model has been tested on a cohort data set of 13 patients in a wide range of blood …
[PDF][PDF] Medical innovation: using mechatronics engineering to reduce inequities in healthcare.
LR Holder-Pearson - 2022 - ir.canterbury.ac.nz
Medical device innovation provides access to healthcare. Innovations come about be-cause
of pressures, in particular financial pressures, and access to care. With increasing …
of pressures, in particular financial pressures, and access to care. With increasing …
Unsupervised classification based analysis of the temporal pattern of insulin sensitivity and modelling noise of patient groups under tight glycemic control
Background: Glycaemic control (GC) of critical care patients with abnormal blood glucose
(BG) level can reduce mortality and improve clinical outcomes. Model based GC protocol …
(BG) level can reduce mortality and improve clinical outcomes. Model based GC protocol …