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Adaptive basal insulin recommender system based on Kalman filter for type 1 diabetes
- Source :
- Torrent-Fontbona, Ferran 2018 Adaptive basal insulin recommender system based on Kalman filter for type 1 diabetes Expert Systems with Applications 101 1 7, © Expert Systems with Applications, 2018, vol. 101, p. 1-7, Articles publicats (D-EEEiA), DUGiDocs – Universitat de Girona, instname, Recercat. Dipósit de la Recerca de Catalunya
- Publication Year :
- 2020
- Publisher :
- Elsevier, 2020.
-
Abstract
- Type 1 diabetes mellitus is a chronic disease that requires those affected to self-administer insulin to control their blood glucose level. However, the estimation of the correct insulin dosage is not easy due to the complexity of glucose metabolism, which usually leads to blood glucose levels far from the optimal. This paper presents an adaptive and personalised basal insulin recommender system based on Kalman filter theory that can be used with or without continuous glucose monitoring systems. The proposed approach is tested with the UVa/PADOVA simulator with eleven virtual adult subjects. It has been tested in combination with two different bolus calculators, and the performance achieved has been compared with that obtained with the default basal doses of the simulator, which can be assumed as optimal. The achieved results demonstrate that the proposed system rapidly converges to the optimal basal dose, and it can be used with adaptive bolus calculators without the risk of instability This project has received funding from the grant of the University of Girona 2016-2018 (MPCUdG2016) and the European Union Horizon 2020 research and innovation programme under grant agreement No. 689810, www.pepper.eu.com/, PEPPER
- Subjects :
- Computer science
medicine.medical_treatment
030209 endocrinology & metabolism
02 engineering and technology
Recommender system
03 medical and health sciences
Insuline
0302 clinical medicine
Bolus (medicine)
Artificial Intelligence
Control theory
Diabetes mellitus
Insulina
0202 electrical engineering, electronic engineering, information engineering
medicine
Type 1 diabetes
Diabetis
Continuous glucose monitoring
Basal insulin
Insulin
Diabetes
General Engineering
Kalman filter
medicine.disease
3. Good health
Computer Science Applications
Case-based reasoning
020201 artificial intelligence & image processing
Raonament basat en casos
Intel·ligència artificial -- Aplicacions a la medicina
Artificial intelligence -- Medical applications
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Torrent-Fontbona, Ferran 2018 Adaptive basal insulin recommender system based on Kalman filter for type 1 diabetes Expert Systems with Applications 101 1 7, © Expert Systems with Applications, 2018, vol. 101, p. 1-7, Articles publicats (D-EEEiA), DUGiDocs – Universitat de Girona, instname, Recercat. Dipósit de la Recerca de Catalunya
- Accession number :
- edsair.doi.dedup.....801917f0c02b9194c1e1e5d1bc395cd7