Enhancing grammatical evolution through data augmentation: application to blood glucose forecasting
Abstract Currently, Diabetes Mellitus Type 1 patients are waiting hopefully for the arrival of
the Artificial Pancreas (AP) in a near future. AP systems will control the blood glucose of …
the Artificial Pancreas (AP) in a near future. AP systems will control the blood glucose of …
Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data
Diabetes Mellitus Type 1 patients are waiting for the arrival of the Artificial Pancreas. Artificial
Pancreas systems will control the blood glucose of patients, improving their quality of life …
Pancreas systems will control the blood glucose of patients, improving their quality of life …
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 …
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 …
Modeling glycemia in humans by means of grammatical evolution
Diabetes mellitus is a disease that affects to hundreds of millions of people worldwide.
Maintaining a good control of the disease is critical to avoid severe long-term complications …
Maintaining a good control of the disease is critical to avoid severe long-term complications …
Structured grammatical evolution for glucose prediction in diabetic patients
Structured grammatical evolution is a recent grammar-based genetic programming variant
that tackles the main drawbacks of Grammatical Evolution, by relying on a one-to-one …
that tackles the main drawbacks of Grammatical Evolution, by relying on a one-to-one …
Forecasting glucose levels in patients with diabetes mellitus using semantic grammatical evolution and symbolic aggregate approximation
Type 1 Diabetes Mellitus can only be treated injecting insulin and glucagon into the blood
stream. This research is motivated by the challenge to accurately predict future blood …
stream. This research is motivated by the challenge to accurately predict future blood …
Mid-term prediction of blood glucose from continuous glucose sensors, meal information and administered insulin
I Contreras, J Vehi - XIV Mediterranean Conference on Medical and …, 2016 - Springer
Abstract Type 1 Diabetes Mellitus (T1D) is a disease resulting from an autoimmune attack on
β-cells which are unable to produce enough insulin. Time series prediction can be a very …
β-cells which are unable to produce enough insulin. Time series prediction can be a very …
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 …
Blood glucose prediction using multi-objective grammatical evolution: analysis of the “agnostic” and “what-if” scenarios
In this paper we investigate the benefits of applying a multi-objective approach for solving a
symbolic regression problem by means of Grammatical Evolution. In particular, we extend …
symbolic regression problem by means of Grammatical Evolution. In particular, we extend …