Blood glucose prediction with deep neural networks using weighted decision level fusion
Author:
Publisher
Elsevier BV
Subject
Biomedical Engineering
Reference37 articles.
1. Pouya Saeedi, Paraskevi Salpea, Suvi Karuranga, Inga Petersohn, Belma Malanda, Edward W Gregg, Nigel Unwin, Sarah H Wild, Rhys Williams. Mortality attributable to diabetes in 20–79 years old adults, 2019 estimates: Results from the international diabetes federation diabetes atlas. Diabetes research and clinical practice; 2020. p. 108086.
2. Ashenafi Zebene Woldaregay, Eirik Årsand, Ståle Walderhaug, David Albers, Lena Mamykina, Taxiarchis Botsis, Gunnar Hartvigsen. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes. Artif Intell Med 2019;98:109–134.
3. A review of personalized blood glucose prediction strategies for t1dm patients;Oviedo;Int J Numer Methods Biomed Eng,2017
4. J Ignacio Hidalgo, J Manuel Colmenar, Gabriel Kronberger, Stephan M Winkler, Oscar Garnica, Juan Lanchares. Data based prediction of blood glucose concentrations using evolutionary methods. J Med Syst 2017;41(9):142.
5. A blood glucose level prediction system using machine learning based on recurrent neural network for hypoglycemia prevention;Doike,2018
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