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1Academic Journal
المؤلفون: Marina De La Cruz, Oscar Garnica, Carlos Cervigon, Jose Manuel Velasco, J. Ignacio Hidalgo
المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
مصطلحات موضوعية: Diabetes, Hypoglycemia prediction, Rule system, Structured grammatical evolution, Medicine, Science
وصف الملف: electronic resource
Relation: https://doaj.org/toc/2045-2322
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2Academic Journal
المؤلفون: Duckworth, Christopher, Guy, Matthew J., Kumaran, Anitha, O’Kane, Aisling Ann, Ayobi, Amid, Chapman, Adriane, Marshall, Paul, Boniface, Michael
المصدر: Duckworth , C , Guy , M J , Kumaran , A , O’Kane , A A , Ayobi , A , Chapman , A , Marshall , P & Boniface , M 2024 , ' Explainable Machine Learning for Real-Time Hypoglycemia and Hyperglycemia Prediction and Personalized Control Recommendations ' , Journal of Diabetes Science and Technology , vol. 18 , no. 1 , pp. 113-123 . https://doi.org/10.1177/19322968221103561
مصطلحات موضوعية: continuous glucose monitoring, explainable and trustworthy AI, feature extraction, hyperglycemia prediction, hypoglycemia prediction, machine learning
Relation: https://research-information.bris.ac.uk/en/publications/09b35c1b-70ee-4c2b-ac7a-37835697b35b
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3Academic Journal
المؤلفون: Najib Ur Rehman, Ivan Contreras, Aleix Beneyto, Josep Vehi
المصدر: Mathematics, Vol 12, Iss 10, p 1567 (2024)
مصطلحات موضوعية: classification, data quality, hypoglycemia prediction, machine learning, postprandial hypoglycemia, type 1 diabetes, Mathematics, QA1-939
Relation: https://www.mdpi.com/2227-7390/12/10/1567; https://doaj.org/toc/2227-7390; https://doaj.org/article/d29587166347482c89478b08fffe338b
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4Academic Journal
المؤلفون: Duckworth, C, Guy, MJ, Kumaran, A, O’Kane, AA, Ayobi, A, Chapman, A, Marshall, P, Boniface, M
المصدر: Journal of Diabetes Science and Technology (2022) (In press).
مصطلحات موضوعية: continuous glucose monitoring, explainable and trustworthy AI, feature extraction, hyperglycemia prediction, hypoglycemia prediction, machine learning
وصف الملف: text
Relation: https://discovery.ucl.ac.uk/id/eprint/10156890/1/19322968221103561.pdf; https://discovery.ucl.ac.uk/id/eprint/10156890/
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5
المؤلفون: Mohammadridha, Taghreed
المساهمون: Laboratoire des Sciences du Numérique de Nantes (LS2N), Université de Nantes - Faculté des Sciences et des Techniques, Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), École centrale de Nantes, Claude Moog, IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)
المصدر: Automatic. École centrale de Nantes, 2017. English. ⟨NNT : 2017ECDN0008⟩
مصطلحات موضوعية: Glycemia Regulation, Sliding mode control, Commande par modes glissants, Prédiction de l'hypoglycémie, Model-free control, Type I Diabetes, Hypoglycemia prediction, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Ensemble invariant, Régulation de la glycémie, Positive Control, Diabète de type I, Insulin on board, Commande sans modèle, Positively invariant set, Commande positive
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6Dissertation/ Thesis
المؤلفون: Mohammadridha, Taghreed
المساهمون: Laboratoire des Sciences du Numérique de Nantes (LS2N), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), École centrale de Nantes, Claude Moog
المصدر: https://theses.hal.science/tel-02513088 ; Automatic. École centrale de Nantes, 2017. English. ⟨NNT : 2017ECDN0008⟩.
مصطلحات موضوعية: Sliding mode control, Insulin on board, Positively invariant set, Hypoglycemia prediction, Positive Control, Type I Diabetes, Glycemia Regulation, Model-free control, Diabète de type I, Régulation de la glycémie, Commande positive, Prédiction de l'hypoglycémie, Ensemble invariant, Commande par modes glissants, Commande sans modèle, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Relation: NNT: 2017ECDN0008; tel-02513088; https://theses.hal.science/tel-02513088; https://theses.hal.science/tel-02513088/document; https://theses.hal.science/tel-02513088/file/T_MOHAMMADRIDHA.pdf
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7Dissertation/ Thesis
المؤلفون: Eljil, Khuloud Abdel Aziz Safi
المساهمون: Qaddah, Ghassan, Pasquier, Michel
مصطلحات موضوعية: machine learning, hypoglycemia prediction, decision tree, neural network, CGM sensors, Blood sugar monitoring, Technological innovations, Hypoglycemia
وصف الملف: application/pdf
Relation: Master of Science in Computer Engineering (MSCoE); 35.232-2014.26; http://hdl.handle.net/11073/7627
الاتاحة: http://hdl.handle.net/11073/7627
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8Electronic Resource
مصطلحات الفهرس: machine learning, hypoglycemia prediction, decision tree, neural network, CGM sensors, Blood sugar monitoring, Technological innovations, Hypoglycemia, Machine learning, Thesis
URL:
http://hdl.handle.net/11073/7627
Master of Science in Computer Engineering (MSCoE)
American University of Sharjah Student Work
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