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LONGATO, ENRICO

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Pubblicazioni (Tutti)

Risultati 1 - 11 di 11 (tempo di esecuzione: 0.001 secondi).

	Titolo	Data di pubblicazione	Autori	Rivista	Titolo libro
1	Validation and recalibration of the Finnish Diabetes Risk Score on the older American population of the Health and Retirement Study	Being printed	LONGATO, ENRICO ; VETTORETTI, MARTINA ; DI CAMILLO, BARBARA ; FACCHINETTI, ANDREA		GNB 2018 - Sixth National Congress of Bioengineering
2	Building a predictive model of diabetes from Veneto’s regional HIE: identification of patients from administrative data	Being printed	LONGATO, ENRICO ; FADINI, GIAN PAOLO ; TRAMONTAN, LARA ; VETTORETTI, MARTINA ; DI CAMILLO, BARBARA ; SPARACINO, GIOVANNI		GNB 2018 - Sixth National Congress of Bioengineering
3	Simple Linear Support Vector Machine Classifier Can Distinguish Impaired Glucose Tolerance Versus Type 2 Diabetes Using a Reduced Set of CGM-Based Glycemic Variability Indices	2019	LONGATO, ENRICO ; ACCIAROLI, GIADA ; FACCHINETTI, ANDREA ; MARAN, ALBERTO ; SPARACINO, GIOVANNI	JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY
4	Improved long-term cardiovascular outcomes after intensive versus standard screening of diabetic complications: an observational study	2019	MORIERI, MARIO LUCA ; LONGATO, ENRICO ; MAZZUCATO, MARTA ; DI CAMILLO, BARBARA ; COCCHIGLIA, ARIANNA ; Gubian L.; SPARACINO, GIOVANNI ; AVOGARO, ANGELO ; FADINI, GIAN PAOLO ; VIGILI DE KREUTZENBERG, SAULA	CARDIOVASCULAR DIABETOLOGY
5	Glycaemic variability-based classification of impaired glucose tolerance vs. type 2 diabetes using continuous glucose monitoring data	2018	LONGATO, ENRICO ; ACCIAROLI, GIADA ; FACCHINETTI, ANDREA ; Hakaste, Liisa; Tuomi, Tiinamaija; MARAN, ALBERTO ; SPARACINO, GIOVANNI	COMPUTERS IN BIOLOGY AND MEDICINE
6	IGT and T2D subjects automatically classified using a selection of CGM-based glycemic variability indices	2018	LONGATO, ENRICO ; ACCIAROLI, GIADA ; FACCHINETTI, ANDREA ; L. Hakaste; T. Tuomi; MARAN, ALBERTO ; SPARACINO, GIOVANNI		11th International Conference on Advanced Technologies and Treatments for Diabetes
7	Importance of Recalibrating Models for Type 2 Diabetes Onset Prediction: Application of the Diabetes Population Risk Tool on the Health and Retirement Study	2018	VETTORETTI, MARTINA ; LONGATO, ENRICO ; DI CAMILLO, BARBARA ; FACCHINETTI, ANDREA	IEEE ENGINEERING IN MEDICINE AND BIOLOGY ... ANNUAL CONFERENCE PROCEEDINGS	Conf Proc IEEE Eng Med Biol Soc. 2018
8	HAPT2D: high accuracy of prediction of T2D with a model combining basic and advanced data depending on availability	2018	DI CAMILLO, BARBARA ; Hakaste, Liisa; SAMBO, FRANCESCO ; Gabriel, Rafael; Kravic, Jasmina; Isomaa, Bo; Tuomilehto, Jaakko; Alonso, Margarita; LONGATO, ENRICO ; FACCHINETTI, ANDREA ; Groop, Leif C; COBELLI, CLAUDIO ; Tuomi, Tiinamaija	EUROPEAN JOURNAL OF ENDOCRINOLOGY
9	Support vector machine fed by CGM-based glycemic variability indices can distinguish between IGT and T2D subjects	2017	LONGATO, ENRICO ; ACCIAROLI, GIADA ; FACCHINETTI, ANDREA ; L. Hakaste; T. Tuomi; MARAN, ALBERTO ; SPARACINO, GIOVANNI		17th Annual Diabetes Technology Meeting
10	CGM-based glycemic variability indices allow accurate classification of IGT and T2D subjects	2017	LONGATO, ENRICO ; ACCIAROLI, GIADA ; FACCHINETTI, ANDREA ; MARAN, ALBERTO ; SPARACINO, GIOVANNI ; L. Hakaste; T. Tuomi; COBELLI, CLAUDIO		10th International Conference on Advanced Technologies and Treatments for Diabetes
11	Expected accuracy of proximal and distal temperature estimated by wireless sensors, in relation to their number and position on the skin	2017	LONGATO, ENRICO ; Garrido, Maria; Saccardo, Desy; Guevara, Camila Montesinos; Mani, Ali R.; BOLOGNESI, MASSIMO ; AMODIO, PIERO ; FACCHINETTI, ANDREA ; SPARACINO, GIOVANNI ; MONTAGNESE, SARA	PLOS ONE

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Università di Padova