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Tipologia Anno Titolo Titolo inglese Autore File
Lauree magistrali 2020 Ahead of time prediction of nocturnal hypoglycemic events from Continuous Glucose Monitoring data in people with type I diabetes by Machine Learning-based approaches - Bondani, Gaia
Lauree specialistiche 2010 Algoritmi per l'analisi ed il troubueshooting di segnali di sequenziamento sanger del DNA - Costanza, Jole
Lauree magistrali 2020 An unsupervised approach for the detection of compression artifacts in continuous glucose monitors An unsupervised approach for the detection of compression artifacts in continuous glucose monitors IDI, ELENA
Lauree magistrali 2016 Continuous glucose monitoring based algorithms for basal insulin therapy modulation in type 1 diabetes - Meneghetti, Lorenzo
Lauree magistrali 2020 Development of a mobile platform prototype for data gathering and monitoring of type 1 diabetes individuals during clinical trials - Cossu, Luca
Lauree triennali 2021 La polisonnografia per lo studio del sonno: Conversione e Armonizzazione del Cleveland Family Study per l'analisi dell'elettroencefalogramma Polysomnography oriented to sleep analysis: Cleveland Family Study conversion and harmonization for electroencephalogram survey ROSSI, CECILIA
Lauree magistrali 2023 Predictive models of neonatal outcomes using continuous glucose monitoring and clinical records during pregnancy in women with previous bariatric surgery Predictive models of neonatal outcomes using continuous glucose monitoring and clinical records during pregnancy in women with previous bariatric surgery GAIOTTI, SERGIO
Lauree magistrali 2023 Predizione delle complicanze renali del diabete: sviluppo di metodologie di machine learning e deep learning su un dataset multicentrico real-world Prediction of Renal Complications of Diabetes: Development of Machine Learning and Deep Learning Methodologies on a Multicentre Real-World Dataset DEI CAS, DAVIDE
Lauree magistrali 2023 Study of sleep EEG with non-linear indices and correlation with age and sleep quality indicators Study of sleep EEG with non-linear indices and correlation with age and sleep quality indicators RIDOLFO, ANNA
Lauree magistrali 2023 Sviluppo di un'applicazione cloud estendibile per gestione, analisi e condivisione remota di dati elettroencefalografici compatibile con il software Micromed Brain Quick Development of an extensible cloud application for the management, analysis, and remote sharing of electroencephalographic data, compatible with Micromed Brain Quick software MARITTIMI, ANTONIO
Lauree magistrali 2014 Tecniche per la stima del Cross Frequency Coupling di oscillazioni cerebrali in modello animale: studi di simulazione - Casagrande, Gianluca
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