المؤلفون: Simone Rancati, Pietro Bosoni, Riccardo Schiaffini, Annalisa Deodati, Paolo Alberto Mongini, Lucia Sacchi, Chiara Toffanin, Riccardo Bellazzi

المصدر: Diabetology, Vol 5, Iss 6, Pp 584-599 (2024)

مصطلحات موضوعية: Type-1 diabetes, pediatrics, glucose forecasting, foundational model, encoder–decoder, attention mechanism, Diseases of the blood and blood-forming organs, RC633-647.5

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2673-4540/5/6/42; https://doaj.org/toc/2673-4540

URL الوصول: https://doaj.org/article/f3a42c8fc5764b13ae838ba51769c034

المؤلفون: Reem Ibrahim Alkanhel, Hager Saleh, Ahmed Elaraby, Saleh Alharbi, Hela Elmannai, Saad Alaklabi, Saeed Hamood Alsamhi, Sherif Mostafa

المصدر: Sensors, Vol 24, Iss 23, p 7670 (2024)

مصطلحات موضوعية: IoT-based diabetes, real-time blood glucose forecasting, convolutional neural networks, healthcare, blood sugar, hybrid model, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/24/23/7670; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/6e51e59db8bb4264b746dcc15059776e

المؤلفون: Yechan Han, Dae-Yeon Kim, Jiyoung Woo, Jaeyun Kim

المصدر: Heliyon, Vol 10, Iss 8, Pp e29030- (2024)

مصطلحات موضوعية: Type 2 diabetes, Blood glucose forecasting, Deep learning, Ensemble method, Error grid analysis, Science (General), Q1-390, Social sciences (General), H1-99

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024050618; https://doaj.org/toc/2405-8440

URL الوصول: https://doaj.org/article/8d20e2f5d70c4863a0f72e591d2b7bcf

المؤلفون: De Falco I., Della Cioppa A., Koutny T., Scafuri U., Tarantino E.

المساهمون: De Falco, I., Della Cioppa, A., Koutny, T., Scafuri, U., Tarantino, E.

مصطلحات موضوعية: Explicit model, Federated learning, Glucose forecasting, Grammatical evolution, Precision medicine

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001083187800001; volume:87; firstpage:1; lastpage:17; numberofpages:17; journal:BIOMEDICAL SIGNAL PROCESSING AND CONTROL; https://hdl.handle.net/11386/4847231; https://www.sciencedirect.com/science/article/pii/S1746809423008492?via=ihub

الاتاحة: https://hdl.handle.net/11386/4847231
https://doi.org/10.1016/j.bspc.2023.105416
https://www.sciencedirect.com/science/article/pii/S1746809423008492?via=ihub

المؤلفون: Gomez, Louis A, Toye, Adedolapo Aishat, Hum, R Stanley, Kleinberg, Samantha

المصدر: J Diabetes Sci Technol ; ISSN:1932-2968 ; Volume:19 ; Issue:1

مصطلحات موضوعية: blood glucose forecasting, continuous glucose monitoring, data augmentation, error, missing data, simulation

Relation: https://doi.org/10.1177/19322968231181138; https://pubmed.ncbi.nlm.nih.gov/37350111; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11688677/

الاتاحة: https://doi.org/10.1177/19322968231181138
https://pubmed.ncbi.nlm.nih.gov/37350111
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11688677/

المؤلفون: Mehrad Jaloli, William Lipscomb, Marzia Cescon

المصدر: BioMedInformatics, Vol 2, Iss 4, Pp 715-726 (2022)

مصطلحات موضوعية: blood glucose management, continuous glucose monitoring (CGM), glucose forecasting, convolutional neural network (CNN), long short-term memory (LSTM), physical activity index (PAI), Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Computer applications to medicine. Medical informatics, R858-859.7

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2673-7426/2/4/48; https://doaj.org/toc/2673-7426

URL الوصول: https://doaj.org/article/bcade132888d4b7cab332b5c725e445e

المؤلفون: Della Cioppa, Antonio, De Falco, Ivanoe, Koutný, Tomáš, Scafuri, Umberto, Úbl, Martin, Tarantino, Ernesto

مصطلحات موضوعية: predikce glykémie, evaluační metriky, gramatická evoluce, symbolická regrese, glucose forecasting, evaluation metrics, grammatical evolution, symbolic regression

وصف الملف: 14 s.; application/pdf

Relation: Applied Soft Computing; DELLA CIOPPA, A. DE FALCO, I. KOUTNÝ, T. SCAFURI, U. ÚBL, M. TARANTINO, E. Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes. Applied Soft Computing, 2023, roč. 134, č. FEB 2023, s. 1-14. ISSN: 1568-4946; 2-s2.0-85146147321; http://hdl.handle.net/11025/54958; 967876200001

الاتاحة: http://hdl.handle.net/11025/54958
https://doi.org/10.1016/j.asoc.2023.110012

المؤلفون: Ahtsham Zafar, Dana M. Lewis, Arsalan Shahid

المصدر: Healthcare; Volume 11; Issue 6; Pages: 779

مصطلحات موضوعية: glucose forecasting, automated insulin delivery, glucose variability, glycemic variability, closed loop, OpenAPS, large-scale diabetes dataset, AID

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/healthcare11060779

الاتاحة: https://doi.org/10.3390/healthcare11060779

المؤلفون: Zhu, T, Li, K, Chen, J, Herrero, P, Georgiou, P

المصدر: Journal of Healthcare Informatics Research , 4 (3) pp. 308-324. (2020)

مصطلحات موضوعية: Dilated recurrent neural network, Diabetes, Continuous glucose monitor (CGM), Glucose forecasting, Deep learning

وصف الملف: text

Relation: https://discovery.ucl.ac.uk/id/eprint/10108768/1/Zhu2020_Article_DilatedRecurrentNeuralNetworks.pdf; https://discovery.ucl.ac.uk/id/eprint/10108768/

الاتاحة: https://discovery.ucl.ac.uk/id/eprint/10108768/1/Zhu2020_Article_DilatedRecurrentNeuralNetworks.pdf
https://discovery.ucl.ac.uk/id/eprint/10108768/

المؤلفون: Albers, David J., Levine, Matthew E., Stuart, Andrew, Mamykina, Lena, Gluckman, Bruce, Hripcsak, George

المصدر: Journal of the American Medical Informatics Association, 25(10), 1392-1401, (2018-10)

مصطلحات موضوعية: data assimilation, Bayesian inverse methods, state space models, self-monitoring data, machine learning, data mining, type 2 diabetes, Gaussian process model, glucose forecasting, precision medicine

Relation: https://doi.org/10.1093/jamia/ocy106; https://www.ncbi.nlm.nih.gov/pmc/PMC6188514; eprintid:90365

الاتاحة: https://doi.org/10.1093/jamia/ocy106
https://www.ncbi.nlm.nih.gov/pmc/PMC6188514