يعرض 1 - 3 نتائج من 3 نتيجة بحث عن '"Sparacino, G."', وقت الاستعلام: 1.00s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Time-resolved trajectory of glucose lowering medications and cardiovascular outcomes in type 2 diabetes: a recurrent neural network analysis

    المؤلفون: Longato E., Di Camillo B., Sparacino G., Avogaro A., Fadini G. P.

    المساهمون: Longato, E., Di Camillo, B., Sparacino, G., Avogaro, A., Fadini, G. P.

    مصطلحات موضوعية: Algorithm, Artificial intelligence, Epidemiology, Prediction, Glucose, Human, Hypoglycemic Agent, Neural Networks, Computer, Cardiovascular Disease, Diabetes Mellitus, Type 2, Myocardial Infarction

    العلاقة: info:eu-repo/semantics/altIdentifier/pmid/35996111; info:eu-repo/semantics/altIdentifier/wos/WOS:000843121400002; volume:21; issue:1; firstpage:159; journal:CARDIOVASCULAR DIABETOLOGY; http://hdl.handle.net/11577/3454596Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85136217099

    الإتاحة: https://doi.org/10.1186/s12933-022-01600-xTest
    http://hdl.handle.net/11577/3454596Test

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  2. 2
    دورية أكاديمية
    A neural network predicting the amplitude of the N2pc in individual EEG datasets

    المؤلفون: Marturano F., Brigadoi S., Doro M., Dell'Acqua R., Sparacino G.

    المساهمون: Marturano, F., Brigadoi, S., Doro, M., Dell'Acqua, R., Sparacino, G.

    مصطلحات موضوعية: artificial neural network, EEG/ERP, machine-learning, N2pc, time-frequency analysi, Human, Neural Networks, Computer, Attention Deficit Disorder with Hyperactivity, Electroencephalography

    وصف الملف: STAMPA

    العلاقة: info:eu-repo/semantics/altIdentifier/pmid/34544051; info:eu-repo/semantics/altIdentifier/wos/WOS:000703690000001; volume:18; issue:5; firstpage:056044; journal:JOURNAL OF NEURAL ENGINEERING; https://hdl.handle.net/11577/3405196Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85117359629

    الإتاحة: https://doi.org/10.1088/1741-2552/ac2849Test
    https://hdl.handle.net/11577/3405196Test

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  3. 3
    Mathematical Models of Meal Amount and Timing Variability With Implementation in the Type-1 Diabetes Patient Decision Simulator

    المؤلفون: Camerlingo, N., Vettoretti, M., Del Favero, S., Facchinetti, A., Sparacino, G., on behalf of the Hypo-RESOLVE Consortium

    المصدر: Journal of Diabetes Science and Technology

    مصطلحات موضوعية: Blood Glucose, in-silico clinical trials, machine learning, maximum absolute difference, parametric modelling, support vector machine, Computer science, Endocrinology, Diabetes and Metabolism, Biomedical Engineering, 030209 endocrinology & metabolism, Bioengineering, Machine learning, computer.software_genre, 03 medical and health sciences, 0302 clinical medicine, Internal Medicine, medicine, Parametric modelling, Humans, Insulin, 030212 general & internal medicine, Meals, Breakfast, Type 1 diabetes, Mathematical model, business.industry, In silico clinical trials, digestive, oral, and skin physiology, food and beverages, Original Articles, Models, Theoretical, medicine.disease, Clinical trial, Support vector machine, Diabetes Mellitus, Type 1, Artificial intelligence, business, computer

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::faf68f4039e494e0744c0f2b700b8abbTest
    http://hdl.handle.net/11577/3356571Test


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