Ensemble blood glucose prediction in diabetes mellitus: A review
Considering the complexity of blood glucose dynamics, the adoption of a single model to
predict blood glucose level does not always capture the inter-and intra-patients' context …
predict blood glucose level does not always capture the inter-and intra-patients' context …
[HTML][HTML] Reducing high-risk glucose forecasting errors by evolving interpretable models for type 1 diabetes
Diabetes mellitus is a metabolic disease involving high blood glucose levels that can lead to
serious medical consequences. Hence, for diabetic patients the prediction of future glucose …
serious medical consequences. Hence, for diabetic patients the prediction of future glucose …
[HTML][HTML] Combining wavelet transform with convolutional neural networks for hypoglycemia events prediction from CGM data
Estimating future blood glucose levels is an essential and challenging task for people with
diabetes. It must be carried out based on variables such as current glucose, carbohydrate …
diabetes. It must be carried out based on variables such as current glucose, carbohydrate …
Glucose forecasting combining markov chain based enrichment of data, random grammatical evolution and bagging
Diabetes Mellitus is a disease affecting more and more people every year. Depending on
the kind of diabetes and sometimes on the stage of the illness, diabetic patients have to …
the kind of diabetes and sometimes on the stage of the illness, diabetic patients have to …
Combining data augmentation, EDAs and grammatical evolution for blood glucose forecasting
The ideal solution for diabetes mellitus type 1 patients is the generalization of artificial
pancreas systems. Artificial pancreas will control blood glucose levels of diabetics …
pancreas systems. Artificial pancreas will control blood glucose levels of diabetics …
A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives
I De Falco, A Della Cioppa, A Giugliano, A Marcelli… - Applied Soft …, 2019 - Elsevier
This paper illustrates the development and the applicability of an Evolutionary Computation
approach to enhance the treatment of Type-1 diabetic patients that necessitate insulin …
approach to enhance the treatment of Type-1 diabetic patients that necessitate insulin …
Identification of models for glucose blood values in diabetics by grammatical evolution
One the most relevant application areas of artificial intelligence and machine learning in
general is medical research. We here focus on research dedicated to diabetes, a disease …
general is medical research. We here focus on research dedicated to diabetes, a disease …
A Grammatical Evolution approach for estimating blood glucose levels
The management of diabetes is a very complex task, hence devising automatic procedures
able to predict the glycemic level can represent a significant step towards the building of an …
able to predict the glycemic level can represent a significant step towards the building of an …
An evolution-based machine learning approach for inducing glucose prediction models
I De Falco, A Della Cioppa, T Koutny… - … IEEE Symposium on …, 2022 - ieeexplore.ieee.org
Within this paper a Grammatical Evolution al-gorithm is exploited to induce personalized
and interpretable glucose forecasting models for diabetic patients based on the historical …
and interpretable glucose forecasting models for diabetic patients based on the historical …
Swarm hybrid optimization for a piecewise model fitting applied to a glucose model
Purpose The purpose of this paper is to study insulin pump therapy and accurate monitoring
of glucose levels in diabetic patients, which are current research trends in diabetology. Both …
of glucose levels in diabetic patients, which are current research trends in diabetology. Both …