Deep convolutional neural network for diabetes mellitus prediction

SA Alex, JJV Nayahi, H Shine, V Gopirekha - Neural Computing and …, 2022‏ - Springer
As a widely known disease diabetes mellitus makes the human body produce quite less
hormone and also tend to cause increased glucose that results in abnormal metabolism of …

Machine and deep learning techniques for the prediction of diabetics: a review

SKS Modak, VK Jha - Multimedia Tools and Applications, 2024‏ - Springer
Diabetes has become one of the significant reasons for public sickness and death in
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …

Impact of nutritional factors in blood glucose prediction in type 1 diabetes through machine learning

G Annuzzi, A Apicella, P Arpaia, L Bozzetto… - IEEE …, 2023‏ - ieeexplore.ieee.org
Type 1 Diabetes (T1D) is an autoimmune disease that affects millions of people worldwide.
A critical issue in T1D patients is the managing of Postprandial Glucose Response (PGR) …

Exploring nutritional influence on blood glucose forecasting for type 1 diabetes using explainable AI

G Annuzzi, A Apicella, P Arpaia… - IEEE journal of …, 2023‏ - ieeexplore.ieee.org
Type 1 diabetes mellitus (T1DM) is characterized by insulin deficiency and blood sugar
control issues. The state-of-the-art solution is the artificial pancreas (AP), which integrates …

Multivariate models of blood glucose prediction in type1 diabetes: A survey of the state-of-the-art

S Arora, S Kumar, P Kumar - Current Pharmaceutical …, 2023‏ - benthamdirect.com
Diabetes mellitus is a long-term chronicle disorder with a high prevalence rate worldwide.
Continuous blood glucose and lifestyle monitoring enabled the control of blood glucose …

[HTML][HTML] Personalized LSTM-based alarm systems for hypoglycemia and hyperglycemia prevention

F Iacono, L Magni, C Toffanin - Biomedical Signal Processing and Control, 2023‏ - Elsevier
Hypoglycemia and hyperglycemia prevention is the main challenge of an efficient Type 1
Diabetes (T1D) control. Alarm systems that alert the patients when their Blood Glucose (BG) …

A hybrid Transformer-LSTM model apply to glucose prediction

QX Bian, A As' arry, XG Cong, KAM Rezali… - PLoS …, 2024‏ - journals.plos.org
The global prevalence of diabetes is escalating, with estimates indicating that over 536.6
million individuals were afflicted by 2021, accounting for approximately 10.5% of the world's …

Model Predictive Control (MPC) of an artificial pancreas with data-driven learning of multi-step-ahead blood glucose predictors

EM Aiello, M Jaloli, M Cescon - Control Engineering Practice, 2024‏ - Elsevier
We present the design and in-silico evaluation of a multi-step-ahead-loop insulin delivery
algorithm to treat type 1 diabetes (T1D) consisting in a data-driven multi-step-ahead blood …

Personalized LSTM models for glucose prediction in Type 1 diabetes subjects

F Iacono, L Magni, C Toffanin - 2022 30th Mediterranean …, 2022‏ - ieeexplore.ieee.org
Blood Glucose (BG) regulation is the main challenge of Type 1 diabetes patients, that need
exogenous insulin treatments to keep BG levels under control. The Artificial Pancreas (AP) is …

[HTML][HTML] Develo** an individual glucose prediction model using recurrent neural network

DY Kim, DS Choi, J Kim, SW Chun, HW Gil, NJ Cho… - Sensors, 2020‏ - mdpi.com
In this study, we propose a personalized glucose prediction model using deep learning for
hospitalized patients who experience Type-2 diabetes. We aim for our model to assist the …