FACCHINETTI, ANDREA
 Distribuzione geografica
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Continente #
NA - Nord America 20.891
AS - Asia 13.961
EU - Europa 7.073
SA - Sud America 2.323
AF - Africa 2.160
OC - Oceania 223
Continente sconosciuto - Info sul continente non disponibili 112
Totale 46.743
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Nazione #
US - Stati Uniti d'America 19.666
SG - Singapore 4.733
CN - Cina 2.375
VN - Vietnam 2.122
IT - Italia 1.541
BR - Brasile 1.446
HK - Hong Kong 1.339
DE - Germania 770
FR - Francia 666
FI - Finlandia 520
PL - Polonia 441
IN - India 396
SE - Svezia 375
GB - Regno Unito 346
BD - Bangladesh 313
RU - Federazione Russa 251
CA - Canada 218
NL - Olanda 216
IQ - Iraq 195
JP - Giappone 183
ES - Italia 179
AR - Argentina 175
TR - Turchia 154
PK - Pakistan 153
PH - Filippine 144
SA - Arabia Saudita 143
MX - Messico 138
ZA - Sudafrica 138
UA - Ucraina 134
CO - Colombia 107
ID - Indonesia 107
IE - Irlanda 106
UZ - Uzbekistan 105
EC - Ecuador 101
BJ - Benin 100
KR - Corea 98
CH - Svizzera 93
MY - Malesia 93
EG - Egitto 83
GR - Grecia 83
PY - Paraguay 82
UY - Uruguay 82
JO - Giordania 81
TH - Thailandia 81
MA - Marocco 80
AT - Austria 79
BE - Belgio 79
CL - Cile 77
VE - Venezuela 77
DZ - Algeria 76
PE - Perù 76
AE - Emirati Arabi Uniti 75
TW - Taiwan 75
TN - Tunisia 72
BY - Bielorussia 71
PT - Portogallo 70
CI - Costa d'Avorio 69
AZ - Azerbaigian 68
KZ - Kazakistan 68
KE - Kenya 67
BW - Botswana 66
AU - Australia 65
NP - Nepal 65
BO - Bolivia 62
EE - Estonia 62
AL - Albania 61
HR - Croazia 61
LB - Libano 61
SK - Slovacchia (Repubblica Slovacca) 61
IR - Iran 60
LU - Lussemburgo 59
PS - Palestinian Territory 59
TT - Trinidad e Tobago 57
GT - Guatemala 56
RO - Romania 56
SN - Senegal 56
DO - Repubblica Dominicana 55
BG - Bulgaria 54
CD - Congo 54
ET - Etiopia 54
NO - Norvegia 54
PA - Panama 54
KG - Kirghizistan 53
LA - Repubblica Popolare Democratica del Laos 53
SI - Slovenia 53
XK - ???statistics.table.value.countryCode.XK??? 53
AM - Armenia 52
AO - Angola 52
HN - Honduras 52
HU - Ungheria 52
LV - Lettonia 52
ML - Mali 52
CZ - Repubblica Ceca 51
RS - Serbia 51
UG - Uganda 51
YT - Mayotte 51
CR - Costa Rica 50
CY - Cipro 50
DK - Danimarca 50
GH - Ghana 50
Totale 44.271
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Città #
Singapore 2.900
San Jose 2.485
Ashburn 2.421
Fairfield 1.758
Hong Kong 1.205
Woodbridge 1.045
Houston 942
Ann Arbor 899
Chandler 897
Seattle 662
Wilmington 616
Ho Chi Minh City 612
Cambridge 579
Beijing 544
Hanoi 527
Santa Clara 487
Los Angeles 409
Boardman 369
Bytom 341
Helsinki 320
Munich 317
Padova 296
New York 253
Lauterbourg 247
Princeton 244
Medford 216
Des Moines 196
Jacksonville 188
The Dalles 174
Roxbury 169
San Diego 163
São Paulo 152
Chicago 150
Da Nang 128
Dallas 127
Orem 125
Nanjing 111
Council Bluffs 108
Dong Ket 105
Tokyo 105
Milan 103
Cotonou 95
Dublin 93
Tashkent 91
Frankfurt am Main 84
Buffalo 81
Denver 81
Haiphong 81
Rome 80
Baghdad 78
Amman 73
Montevideo 71
Padua 70
Brooklyn 69
Johannesburg 68
Abidjan 65
Atlanta 65
London 64
Montreal 64
Guangzhou 63
Baku 62
Hefei 60
Chennai 57
Nairobi 57
Dakar 56
Warsaw 56
Amsterdam 55
San Francisco 52
Shenyang 52
Panama City 51
Vienna 51
Bamako 50
Bishkek 49
Kampala 49
Managua 49
Phoenix 49
Stockholm 48
Dushanbe 47
Nassau 47
Bangkok 46
Minsk 46
Nouakchott 46
Phnom Penh 46
Rio de Janeiro 46
Yerevan 46
Addis Ababa 45
Luanda 45
San José 45
Vientiane 45
Antananarivo 44
Kuala Lumpur 44
Lima 44
Nanchang 44
Noumea 44
Bridgetown 43
Jeddah 43
Libreville 43
Riyadh 43
Salt Lake City 43
Tallinn 43
Totale 27.062
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Nome #
A Personalized and Adaptive Insulin Bolus Calculator Based on Double Deep Q-Learning to Improve Type 1 Diabetes Management 878
On-Line Filtering Algorithms for Continuous Glucose Monitoring 422
A “Slide Rule” to Adjust Insulin Dose Using Trend Arrows in Adults with Type 1 Diabetes: Test in Silico and in Real Life 382
A personalized and interpretable deep learning based approach to predict blood glucose concentration in type 1 diabetes 318
FreeStyle Libre and Dexcom G4 Platinum sensors: Accuracy comparisons during two weeks of home use and use during experimentally induced glucose excursions 312
Switching from twice-daily glargine or detemir to once-daily degludec improves glucose control in type 1 diabetes. An observational study 302
Prediction of Adverse Glycemic Events from Continuous Glucose Monitoring Signal 301
Closed-Loop Artificial Pancreas Using Subcutaneous Glucose Sensing and Insulin Delivery and a Model Predictive Control Algorithm: Preliminary Studies in Padova and Montpellier 299
AGATA: A Toolbox for Automated Glucose Data Analysis 295
Head-to-head comparison of the accuracy of Abbott FreeStyle Libre and Dexcom G5 mobile 279
Smart Titration of Long-Acting Insulin in Insulin-Naïve Type 2 Diabetic Subjects 266
Unsupervised Retrospective Detection of Pressure Induced Failures in Continuous Glucose Monitoring Sensors for T1D Management 264
Detection of compression artifacts in time-series data from continuous glucose monitoring sensors using matched filters 255
Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring. 253
A bayesian network for probabilistic reasoning and imputation of missing risk factors in type 2 diabetes 252
An Online Failure Detection Method of the Glucose Sensor-Insulin Pump System: Improved Overnight Safety of Type-1 Diabetic Subjects 248
A new formula for the estimation of meal insulin bolus in type 1 diabetes therapy accounting for glucose rate of change 248
Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms. 244
Reconstructing by Deconvolution Plasma Glucose from Continuous Glucose Monitoring Sensor Data 243
Accuracy comparison between Dexcom G5 and Eversense sensors 242
A Glucose-Specific Metric to Assess Predictors and Identify Models 239
A dynamic risk measure from continuous glucose monitoring data. 238
Italian Contributions to the Development of Continuous Glucose Monitoring Sensors for Diabetes Management 237
Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device 233
Supervised Learning-based Detection of Pressure-induced Failures in Continuous Glucose Sensors 231
A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes 228
Supervised and Unsupervised Approaches for the Real-Time Detection of Undesired Insulin Suspension Caused by Malfunctions 227
Glycaemic variability-based classification of impaired glucose tolerance vs. type 2 diabetes using continuous glucose monitoring data 226
Forecasting of glucose levels and hypoglycemic events: Head-to-head comparison of linear and nonlinear data-driven algorithms based on continuous glucose monitoring data only 226
Neural network incorporating meal information improves accuracy of short-time prediction of glucose concentration. 225
Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring. 221
Continuous glucose monitoring in very preterm infants: A randomized controlled trial 218
Type 1 diabetes patient decision simulator for in silico testing safety and effectiveness of insulin treatments 217
A template matching algorithm to identify unreported meals and improve quality of data collected on post-bariatric population: a feasibility study 216
Diabetes and Prediabetes Classification Using Glycemic Variability Indices From Continuous Glucose Monitoring Data 215
“Algorithmically Smart” Continuous Glucose Sensor Concept for Diabetes Monitoring 215
Real-Time Improvement of Continuous Glucose-Monitoring Accuracy - The smart sensor concept 214
Comparing the accuracy of transcutaneous sensor and 90-day implantable glucose sensor 213
Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system. 210
Risk of hypoglycemia in type 1 diabetes management: An in-silico sensitivity analysis to assess and rank the quantitative impact of different behavioral factors 208
Parsimonious Description of Glucose Variability in Type 2 Diabetes by Sparse Principal Component Analysis 208
Enhancing the accuracy of subcutaneous glucose sensors: a real-time deconvolution-based approach. 208
A Real-Time Continuous Glucose Monitoring Based Algorithm to Trigger Hypotreatments to Prevent/Mitigate Hypoglycemic Events 208
A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy 208
User requirements for incorporating diabetes modeling techniques in disease management tools 205
Modeling Carbohydrate Counting Error in Type 1 Diabetes Management 203
Implantable and transcutaneous continuous glucose monitoring system: a randomized cross over trial comparing accuracy, efficacy and acceptance 203
A new neural network approach for short-term glucose prediction using continuous glucose monitoring time-series and meal information. 202
GLUCOMFORT: A noninvasive tattoo-based continuous GLUCOse Monitoring electronic system FOR Type-1 diabetes individuals 201
Wearable continuous glucose monitoring sensors: A revolution in diabetes treatment 201
Continuous Glucose Monitoring Sensors for Diabetes Management: A Review of Technologies and Applications 201
Model-Based Detection and Classification of Insulin Pump Faults and Missed Meal Announcements in Artificial Pancreas Systems for Type 1 Diabetes Therapy 201
Non-Invasive Continuous Glucose Monitoring with Multi-Sensor Systems: A Monte Carlo-Based Methodology for Assessing Calibration Robustness 200
Physical Activity Measured by Physical Activity Monitoring System Correlates with Glucose Trends Reconstructed from Continuous Glucose Monitoring 200
Continuous Glucose Monitoring Linked to an Artificial Intelligence Risk Index: Early Footprints of Intraventricular Hemorrhage in Preterm Neonates 198
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 198
Digital Solutions to Diagnose and Manage Postbariatric Hypoglycemia 198
Glucose concentration can be predicted ahead in time from continuous glucose monitoring sensor time-series 197
Real-time detection of glucose sensor and insulin pump faults in an artificial pancreas 197
Reduction of Number and Duration of Hypoglycemic Events by Glucose Prediction Methods: A Proof-of-Concept In Silico Study 196
Smart Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues 195
Reconstruction of Glucose in Plasma from Interstitial Fluid Continuous Glucose Monitoring Data: Role of Sensor Calibration. 194
Continuous Glucose Monitoring: Current Use in Diabetes Management and Possible Future Applications 194
A predictive model of neonatal hypoglycemia using pregnancy-related features and continuous glucose monitoring data 192
A Neural-Network-Based Approach to Personalize Insulin Bolus Calculation Using Continuous Glucose Monitoring 192
A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data 191
An Integrated Mobile Platform for Automated Data Collection and Real-Time Patient Monitoring in Diabetes Clinical Trials 191
Physical Activity Measured by PAMS device Correlates with First- and Second-Order Glucose Concentration Derivatives 188
A new real-time algorithm for preventive hypotreatments generation allows reducing frequency and duration of hypoglycemia 188
A new index to optimally design and compare continuous glucose monitoring glucose prediction algorithms 187
Linear Model Identification for Personalized Prediction and Control in Diabetes 187
Enhanced accuracy of continuous glucose monitoring by online extended Kalman filtering 186
Detecting failures of the glucose sensor-insulin pump system: improved overnight safety monitoring for Type-1 diabetes. 186
An analytical approach to determine the optimal duration of continuous glucose monitoring data required to reliably estimate time in hypoglycemia 186
ReplayBG: A Digital Twin-Based Methodology to Identify a Personalized Model From Type 1 Diabetes Data and Simulate Glucose Concentrations to Assess Alternative Therapies 185
From two to one per day calibration of Dexcom G4 platinum by a time-varying day-specific Bayesian prior 185
Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy 185
Head to head accuracy comparison between two interstitial glucose sensors 182
METHOD TO RECALIBRATE CONTINUOUS GLUCOSE MONITORING DATA IN REAL-TIME 181
System Architecture of TWIN: A New Digital Twin-Based Clinical Decision Support System for Type 1 Diabetes Management in Children 181
Yet Another Glucose Variability Index: Time for a Paradigm Change? 180
A real-time continuous glucose monitoring based algorithm to trigger carbohydrates assumption to prevent/mitigate hypoglycemic events 180
Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-box Approaches To a Physiological White-box One 179
Sparse Principal Component Analysis for the Parsimonious Description of Glucose Variability in Diabetes 179
Multinational study of subcutaneous model-predictive closed-loop control in type 1 diabetes mellitus: summary of the results. 179
IGT and T2D subjects automatically classified using a selection of CGM-based glycemic variability indices 179
Predicting hypertension onset using logistic regression models with labs and/or easily accessible variables: the role of blood pressure measurements 179
Glucose variability indices in type 1 diabetes: parsimonious set of indices revealed by sparse principal component analysis 178
A NEW TELEMEDICINE PLATFORM FOR CLINICAL TRIALS WITH AUTOMATIC SENSOR DATA GATHERING AND REAL TIME MONITORING 178
Modeling the Error of Continuous Glucose Monitoring Sensor Data: Critical Aspects Discussed through Simulation Studies 177
Model of glucose sensor error components: identification and assessment for new Dexcom G4 generation devices. 177
Expected accuracy of proximal and distal temperature estimated by wireless sensors, in relation to their number and position on the skin 177
Toward Calibration-Free Continuous Glucose Monitoring Sensors: Bayesian Calibration Approach Applied to Next-Generation Dexcom Technology 177
Linear regression modelling to assess the impact of socio-economic, demographic and health-related variables on wellbeing in the elderly population 177
Alert System for Hypo and Hyperglycemia Prevention based on Clinical Risk 175
Jump Neural Network for Online Short-Time Prediction of BloodGlucose from Continuous Monitoring Sensors and Meal Information 175
Calibration of minimally invasive continuous glucose monitoring sensors: State-of-the-art and current perspectives 175
A telemonitoring service supporting preterm newborns care in a neonatal intensive care unit 175
Adaptive and self-learning Bayesian filtering algorithm to statistically characterize and improve signal-to-noise ratio of heart-rate data in wearable devices 173
Modeling transient disconnections and compression artifacts of continuous glucose sensors 173
Totale 22.091
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Categoria #
all - tutte 129.367
article - articoli 65.448
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 2.678
selected - selezionate 0
volume - volumi 850
Totale 198.343
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021554 0 0 0 0 0 0 0 0 0 0 342 212
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
2024/20256.897 75 643 276 246 879 178 458 639 582 240 1.099 1.582
2025/202626.091 962 2.064 3.226 3.757 2.705 1.134 3.600 2.187 2.919 1.745 1.792 0
Totale 47.161