FACCHINETTI, ANDREA
 Distribuzione geografica
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Continente #
NA - Nord America 11.179
EU - Europa 2.109
AS - Asia 1.679
OC - Oceania 16
SA - Sud America 12
Continente sconosciuto - Info sul continente non disponibili 11
AF - Africa 5
Totale 15.011
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Nazione #
US - Stati Uniti d'America 11.139
CN - Cina 730
IT - Italia 707
SG - Singapore 687
FR - Francia 321
SE - Svezia 281
FI - Finlandia 243
DE - Germania 231
VN - Vietnam 105
GB - Regno Unito 104
IN - India 53
UA - Ucraina 38
CA - Canada 36
IE - Irlanda 34
ES - Italia 32
JP - Giappone 29
RU - Federazione Russa 26
CH - Svizzera 21
NL - Olanda 15
AU - Australia 13
GR - Grecia 13
KR - Corea 12
EU - Europa 11
IR - Iran 11
TR - Turchia 10
HK - Hong Kong 9
BE - Belgio 8
DK - Danimarca 8
NO - Norvegia 6
TW - Taiwan 6
ID - Indonesia 5
SA - Arabia Saudita 5
SI - Slovenia 5
BG - Bulgaria 4
BR - Brasile 4
CO - Colombia 4
MX - Messico 4
VE - Venezuela 4
NZ - Nuova Zelanda 3
RO - Romania 3
AE - Emirati Arabi Uniti 2
CZ - Repubblica Ceca 2
DZ - Algeria 2
IL - Israele 2
MO - Macao, regione amministrativa speciale della Cina 2
PH - Filippine 2
PK - Pakistan 2
PT - Portogallo 2
TH - Thailandia 2
AM - Armenia 1
AT - Austria 1
EE - Estonia 1
GM - Gambi 1
HU - Ungheria 1
KE - Kenya 1
KH - Cambogia 1
LB - Libano 1
MY - Malesia 1
PL - Polonia 1
SC - Seychelles 1
SK - Slovacchia (Repubblica Slovacca) 1
SY - Repubblica araba siriana 1
Totale 15.011
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Città #
Fairfield 1.758
Woodbridge 1.045
Ann Arbor 898
Chandler 897
Houston 896
Ashburn 766
Seattle 637
Wilmington 603
Cambridge 578
Singapore 562
Princeton 244
Padova 238
Beijing 224
Medford 215
Jacksonville 182
Des Moines 176
Roxbury 169
San Diego 162
Helsinki 127
Nanjing 110
Santa Clara 109
Dong Ket 105
Boardman 103
Shenyang 51
Nanchang 43
New York 42
Frankfurt am Main 36
Milan 35
Dublin 33
Guangzhou 26
Jinan 26
Hebei 25
Providence 23
Cedar Lake 21
Jiaxing 20
Tianjin 18
London 17
Verona 16
Zurich 16
Dearborn 15
Shanghai 15
Bagnolet 14
Montesarchio 14
Ningbo 12
Ogden 12
Rome 12
Los Angeles 11
Parsippany 11
Tokyo 11
Zhengzhou 11
Falls Church 10
Kilburn 10
Lappeenranta 10
Norwalk 10
Treviso 10
Venice 10
Cagliari 9
Munich 9
San Francisco 9
Taizhou 9
Borås 8
Brooklyn 8
Changsha 8
Chicago 8
Kharkiv 8
Pohang 8
Tappahannock 8
Chennai 7
Hangzhou 7
Kolkata 7
Madrid 7
Paris 7
Valencia 7
Bari 6
Belluno 6
Charlottesville 6
Enterprise 6
Paese 6
Portland 6
Pune 6
Rovereto 6
Sagamihara 6
Syracuse 6
Trondheim 6
Vicenza 6
Abano Terme 5
Cassola 5
Croissy-Beaubourg 5
Girona 5
Grenoble 5
Hefei 5
Mannheim 5
Naples 5
Nuremberg 5
Oberhaching 5
Perth 5
Rostock 5
Tehran 5
Thousand Oaks 5
Winnetka 5
Totale 11.731
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Nome #
On-Line Filtering Algorithms for Continuous Glucose Monitoring 195
Prediction of Adverse Glycemic Events from Continuous Glucose Monitoring Signal 187
Switching from twice-daily glargine or detemir to once-daily degludec improves glucose control in type 1 diabetes. An observational study 163
FreeStyle Libre and Dexcom G4 Platinum sensors: Accuracy comparisons during two weeks of home use and use during experimentally induced glucose excursions 151
A Glucose-Specific Metric to Assess Predictors and Identify Models 137
Closed-Loop Artificial Pancreas Using Subcutaneous Glucose Sensing and Insulin Delivery and a Model Predictive Control Algorithm: Preliminary Studies in Padova and Montpellier 136
Reconstructing by Deconvolution Plasma Glucose from Continuous Glucose Monitoring Sensor Data 134
Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring. 127
Smart Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues 125
A dynamic risk measure from continuous glucose monitoring data. 124
Type 1 diabetes patient decision simulator for in silico testing safety and effectiveness of insulin treatments 120
Glucose concentration can be predicted ahead in time from continuous glucose monitoring sensor time-series 118
From two to one per day calibration of Dexcom G4 platinum by a time-varying day-specific Bayesian prior 118
Enhanced accuracy of continuous glucose monitoring by online extended Kalman filtering 117
Reconstruction of Glucose in Plasma from Interstitial Fluid Continuous Glucose Monitoring Data: Role of Sensor Calibration. 117
Head-to-head comparison of the accuracy of Abbott FreeStyle Libre and Dexcom G5 mobile 116
Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring. 112
A Real-Time Continuous Glucose Monitoring Based Algorithm to Trigger Hypotreatments to Prevent/Mitigate Hypoglycemic Events 112
Neural network incorporating meal information improves accuracy of short-time prediction of glucose concentration. 109
User requirements for incorporating diabetes modeling techniques in disease management tools 109
Yet Another Glucose Variability Index: Time for a Paradigm Change? 109
Continuous Glucose Monitoring Sensors for Diabetes Management: A Review of Technologies and Applications 108
A personalized and interpretable deep learning based approach to predict blood glucose concentration in type 1 diabetes 108
Model of glucose sensor error components: identification and assessment for new Dexcom G4 generation devices. 107
Glycaemic variability-based classification of impaired glucose tolerance vs. type 2 diabetes using continuous glucose monitoring data 107
A new index to optimally design and compare continuous glucose monitoring glucose prediction algorithms 105
Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system. 105
Characterizing multisegment foot kinematics during gait in diabetic foot patients. 105
Optimal insulin bolus dosing in type 1 diabetes management: neural network approach exploiting CGM sensor information 105
A bayesian network for probabilistic reasoning and imputation of missing risk factors in type 2 diabetes 104
Toward Calibration-Free Continuous Glucose Monitoring Sensors: Bayesian Calibration Approach Applied to Next-Generation Dexcom Technology 103
Modeling the Error of Continuous Glucose Monitoring Sensor Data: Critical Aspects Discussed through Simulation Studies 102
Italian Contributions to the Development of Continuous Glucose Monitoring Sensors for Diabetes Management 102
A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes 102
Real-Time Improvement of Continuous Glucose-Monitoring Accuracy - The smart sensor concept 101
Enhancing the accuracy of subcutaneous glucose sensors: a real-time deconvolution-based approach. 100
A new neural network approach for short-term glucose prediction using continuous glucose monitoring time-series and meal information. 99
Continuous Glucose Monitoring Linked to an Artificial Intelligence Risk Index: Early Footprints of Intraventricular Hemorrhage in Preterm Neonates 99
Wearable continuous glucose monitoring sensors: A revolution in diabetes treatment 98
“Algorithmically Smart” Continuous Glucose Sensor Concept for Diabetes Monitoring 98
Reduction of Number and Duration of Hypoglycemic Events by Glucose Prediction Methods: A Proof-of-Concept In Silico Study 96
Diabetes and Prediabetes Classification Using Glycemic Variability Indices From Continuous Glucose Monitoring Data 95
Detecting failures of the glucose sensor-insulin pump system: improved overnight safety monitoring for Type-1 diabetes. 94
Remote blood glucose monitoring in mHealth scenarios: A review 94
Continuous glucose monitoring in very preterm infants: A randomized controlled trial 94
Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms. 93
Non-Invasive Continuous Glucose Monitoring with Multi-Sensor Systems: A Monte Carlo-Based Methodology for Assessing Calibration Robustness 93
An Online Self-Tunable Method to Denoise CGM Sensor Data. 91
Patient decision-making of CGM sensor driven insulin therapies in type 1 diabetes: In silico assessment 91
Combining continuous glucose monitoring and insulin pumps to automatically tune the basal insulin infusion in diabetes therapy: a review 91
Sparse Principal Component Analysis for the Parsimonious Description of Glucose Variability in Diabetes 90
Modeling transient disconnections and compression artifacts of continuous glucose sensors 90
Importance of Recalibrating Models for Type 2 Diabetes Onset Prediction: Application of the Diabetes Population Risk Tool on the Health and Retirement Study 90
Real-time detection of glucose sensor and insulin pump faults in an artificial pancreas 88
Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device 88
A telemonitoring service supporting preterm newborns care in a neonatal intensive care unit 88
Glucose variability indices in type 1 diabetes: parsimonious set of indices revealed by sparse principal component analysis 87
Multinational study of subcutaneous model-predictive closed-loop control in type 1 diabetes mellitus: summary of the results. 87
Predicting Insulin Treatment Scenarios with the Net Effect Method: Domain of Validity 87
A Neural-Network-Based Approach to Personalize Insulin Bolus Calculation Using Continuous Glucose Monitoring 87
HAPT2D: high accuracy of prediction of T2D with a model combining basic and advanced data depending on availability 87
Online Denoising Method to Handle Intraindividual Variability of Signal-to-Noise Ratio in Continuous Glucose Monitoring 86
Continuous glucose monitoring sensors: Past, present and future algorithmic challenges 85
A Model of Self-Monitoring Blood Glucose Measurement Error 85
Reduction of Blood Glucose Measurements to Calibrate Subcutaneous Glucose Sensors: A Bayesian Multiday Framework 85
Continuous glucose monitoring time series and hypo/hyperglycemia prevention: requirements, methods, open problems. 84
Expected accuracy of proximal and distal temperature estimated by wireless sensors, in relation to their number and position on the skin 83
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 82
Accuracy of devices for self-monitoring of blood glucose: A stochastic error model 81
Continuous Glucose Monitoring: Current Use in Diabetes Management and Possible Future Applications 81
An Online Failure Detection Method of the Glucose Sensor-Insulin Pump System: Improved Overnight Safety of Type-1 Diabetic Subjects 80
Physical Activity Measured by Physical Activity Monitoring System Correlates with Glucose Trends Reconstructed from Continuous Glucose Monitoring 80
Parsimonious Description of Glucose Variability in Type 2 Diabetes by Sparse Principal Component Analysis 80
Smart Titration of Long-Acting Insulin in Insulin-Naïve Type 2 Diabetic Subjects 77
On-line calibration of glucose sensors from the measured current by a time-varying calibration function and Bayesian priors 77
Modeling the Glucose Sensor Error 76
Regularised Model Identification Improves Accuracy of Multisensor Systems for Noninvasive Continuous Glucose Monitoring in Diabetes Management 76
Assessment of Blood Glucose Predictors: The Prediction-Error Grid Analysis 74
What do healthcare professionals need to turn risk models for type 2 diabetes into usable computerized clinical decision support systems? Lessons learned from the MOSAIC project 74
A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data 74
Jump Neural Network for Online Short-Time Prediction of BloodGlucose from Continuous Monitoring Sensors and Meal Information 73
Accuracy comparison between Dexcom G5 and Eversense sensors 73
Addressing practical issues of predictive models translation into everyday practice and public health management: A combined model to predict the risk of type 2 diabetes improves incidence prediction and reduces the prevalence of missing risk predictions 73
Classification of Postprandial Glycemic Status with Application to Insulin Dosing in Type 1 Diabetes-An In Silico Proof-of-Concept 72
METHOD TO RECALIBRATE CONTINUOUS GLUCOSE MONITORING DATA IN REAL-TIME 71
Personalized Subcutaneous Model-Predictive Closed-Loop Control of T1DM: Pilot Studies in the USA and Italy 71
Alert System for Hypo and Hyperglycemia Prevention based on Clinical Risk 71
How much is short-term glucose prediction in type 1 diabetes improved by adding insulin delivery and meal content information to CGM data? A proof-of-concept study 69
Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy 69
An analytical approach to determine the optimal duration of continuous glucose monitoring data required to reliably estimate time in hypoglycemia 69
Retrofitting Real-Life Dexcom G5 Data 68
Calibration of minimally invasive continuous glucose monitoring sensors: State-of-the-art and current perspectives 67
A CONSENSUS MODEL TO IMPROVE THE PREDICTION OF TYPE 2 DIABETES ONSET: VALIDATION ON THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS DATA 67
Prediction of Glucose Concentration from CGM Data through AR Time-Series Models: Role of Sampling Frequency and Other Design Variables 66
In silico assessment of literature insulin bolus calculation methods accounting for glucose rate of change 65
In Silico Assessment of Literature Methods to Adjust Insulin Bolus Dose according to CGM Trend 65
Modeling Carbohydrate Counting Error in Type 1 Diabetes Management 65
Model-Based Detection and Classification of Insulin Pump Faults and Missed Meal Announcements in Artificial Pancreas Systems for Type 1 Diabetes Therapy 65
An on-line bayesian filtering approach to deal with SNR variability of CGM data 64
Parsimonious Description of Glucose Variability in Type 2 Diabetes by Sparse Principal Component Analysis 64
Totale 9.482
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Categoria #
all - tutte 60.544
article - articoli 32.207
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 1.132
selected - selezionate 0
volume - volumi 410
Totale 94.293
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/20201.902 0 0 0 155 258 163 226 236 257 332 175 100
2020/20212.339 109 141 43 171 244 152 139 152 394 240 342 212
2021/20222.801 52 318 234 117 169 272 136 406 181 45 198 673
2022/20232.214 440 166 77 151 358 256 16 169 328 68 130 55
2023/20241.656 137 279 186 155 115 114 112 92 60 66 161 179
2024/20251.152 75 643 276 158 0 0 0 0 0 0 0 0
Totale 15.325