FACCHINETTI, ANDREA
 Distribuzione geografica
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Continente #
NA - Nord America 13.464
AS - Asia 5.169
EU - Europa 4.671
SA - Sud America 1.260
AF - Africa 934
OC - Oceania 128
Continente sconosciuto - Info sul continente non disponibili 55
Totale 25.681
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Nazione #
US - Stati Uniti d'America 12.929
SG - Singapore 1.895
IT - Italia 1.028
CN - Cina 1.010
BR - Brasile 919
HK - Hong Kong 909
DE - Germania 683
FI - Finlandia 429
PL - Polonia 379
FR - Francia 350
SE - Svezia 320
VN - Vietnam 263
RU - Federazione Russa 194
GB - Regno Unito 179
NL - Olanda 142
IN - India 97
CA - Canada 87
ES - Italia 84
UA - Ucraina 75
IE - Irlanda 70
JP - Giappone 64
MX - Messico 63
AR - Argentina 58
KR - Corea 56
TR - Turchia 53
EC - Ecuador 48
CH - Svizzera 47
ZA - Sudafrica 47
SA - Arabia Saudita 46
AT - Austria 43
CI - Costa d'Avorio 41
PK - Pakistan 41
BE - Belgio 40
UY - Uruguay 39
ID - Indonesia 38
UZ - Uzbekistan 38
GR - Grecia 37
CO - Colombia 36
PT - Portogallo 36
AU - Australia 35
IQ - Iraq 35
SK - Slovacchia (Repubblica Slovacca) 35
IR - Iran 34
PE - Perù 34
DZ - Algeria 33
EG - Egitto 33
TN - Tunisia 33
BD - Bangladesh 32
KG - Kirghizistan 32
VE - Venezuela 32
EE - Estonia 30
AE - Emirati Arabi Uniti 29
AL - Albania 29
BY - Bielorussia 29
CZ - Repubblica Ceca 29
JO - Giordania 29
AZ - Azerbaigian 28
BW - Botswana 28
HU - Ungheria 28
MA - Marocco 28
NC - Nuova Caledonia 28
PY - Paraguay 28
TW - Taiwan 28
MD - Moldavia 27
RO - Romania 27
SI - Slovenia 27
AM - Armenia 26
BG - Bulgaria 26
DO - Repubblica Dominicana 26
GH - Ghana 26
JM - Giamaica 26
LC - Santa Lucia 26
MK - Macedonia 26
MY - Malesia 26
NP - Nepal 26
TH - Thailandia 26
XK - ???statistics.table.value.countryCode.XK??? 26
AF - Afghanistan, Repubblica islamica di 25
BO - Bolivia 25
CL - Cile 25
HN - Honduras 25
HR - Croazia 25
KE - Kenya 25
KZ - Kazakistan 25
LA - Repubblica Popolare Democratica del Laos 25
MR - Mauritania 25
NZ - Nuova Zelanda 25
TT - Trinidad e Tobago 25
BJ - Benin 24
DK - Danimarca 24
LB - Libano 24
ML - Mali 24
NO - Norvegia 24
YT - Mayotte 24
AO - Angola 23
GT - Guatemala 23
MU - Mauritius 23
MW - Malawi 23
PH - Filippine 23
BA - Bosnia-Erzegovina 22
Totale 24.575
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Città #
Fairfield 1.758
Singapore 1.203
Ashburn 1.058
Woodbridge 1.045
Ann Arbor 899
Houston 898
Chandler 897
Hong Kong 879
Seattle 648
Wilmington 605
Cambridge 578
Santa Clara 430
Beijing 366
Boardman 363
Bytom 340
Munich 315
Padova 296
Helsinki 252
Princeton 244
Medford 215
Jacksonville 183
Des Moines 177
Roxbury 169
San Diego 162
Nanjing 110
Dong Ket 105
Los Angeles 101
São Paulo 88
New York 68
Dublin 64
Ho Chi Minh City 57
Shenyang 52
Hefei 51
Milan 51
Nanchang 43
Brooklyn 41
Frankfurt am Main 41
Buffalo 39
Nuremberg 38
Abidjan 37
Hanoi 37
London 37
Padua 37
Montevideo 36
Tashkent 35
Rome 33
Turku 33
The Dalles 30
Tokyo 30
Amsterdam 29
Bishkek 29
Falkenstein 29
Rio de Janeiro 29
Amman 28
Baku 28
Noumea 27
Vienna 27
Castries 26
Guangzhou 26
Jinan 26
Hebei 25
Accra 24
Bamako 24
San Francisco 24
Yerevan 24
Johannesburg 23
Providence 23
Zurich 23
Charlottesville 22
Luanda 22
Nairobi 22
Nouakchott 22
Verona 22
Cagliari 21
Cedar Lake 21
Cotonou 21
Dakar 21
Nassau 21
Ulan Bator 21
Brasília 20
Jiaxing 20
Kampala 20
Lappeenranta 20
Tirana 20
Venice 20
Vientiane 20
Andorra la Vella 19
Bridgetown 19
Conakry 19
Djibouti 19
Dushanbe 19
Quito 19
Seoul 19
Auckland 18
Chennai 18
Dar es Salaam 18
Hargeisa 18
Libreville 18
Lima 18
Praia 18
Totale 16.403
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Nome #
On-Line Filtering Algorithms for Continuous Glucose Monitoring 304
A “Slide Rule” to Adjust Insulin Dose Using Trend Arrows in Adults with Type 1 Diabetes: Test in Silico and in Real Life 238
Prediction of Adverse Glycemic Events from Continuous Glucose Monitoring Signal 227
Switching from twice-daily glargine or detemir to once-daily degludec improves glucose control in type 1 diabetes. An observational study 215
A new formula for the estimation of meal insulin bolus in type 1 diabetes therapy accounting for glucose rate of change 205
FreeStyle Libre and Dexcom G4 Platinum sensors: Accuracy comparisons during two weeks of home use and use during experimentally induced glucose excursions 181
A personalized and interpretable deep learning based approach to predict blood glucose concentration in type 1 diabetes 177
A Glucose-Specific Metric to Assess Predictors and Identify Models 174
Closed-Loop Artificial Pancreas Using Subcutaneous Glucose Sensing and Insulin Delivery and a Model Predictive Control Algorithm: Preliminary Studies in Padova and Montpellier 169
Head-to-head comparison of the accuracy of Abbott FreeStyle Libre and Dexcom G5 mobile 167
Reconstructing by Deconvolution Plasma Glucose from Continuous Glucose Monitoring Sensor Data 166
Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring. 163
A dynamic risk measure from continuous glucose monitoring data. 158
Glycaemic variability-based classification of impaired glucose tolerance vs. type 2 diabetes using continuous glucose monitoring data 155
Smart Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues 150
A bayesian network for probabilistic reasoning and imputation of missing risk factors in type 2 diabetes 149
From two to one per day calibration of Dexcom G4 platinum by a time-varying day-specific Bayesian prior 148
Type 1 diabetes patient decision simulator for in silico testing safety and effectiveness of insulin treatments 146
Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring. 144
A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes 144
Wearable continuous glucose monitoring sensors: A revolution in diabetes treatment 144
Smart Titration of Long-Acting Insulin in Insulin-Naïve Type 2 Diabetic Subjects 143
Continuous glucose monitoring in very preterm infants: A randomized controlled trial 143
Italian Contributions to the Development of Continuous Glucose Monitoring Sensors for Diabetes Management 141
Continuous Glucose Monitoring Linked to an Artificial Intelligence Risk Index: Early Footprints of Intraventricular Hemorrhage in Preterm Neonates 141
Yet Another Glucose Variability Index: Time for a Paradigm Change? 141
A Real-Time Continuous Glucose Monitoring Based Algorithm to Trigger Hypotreatments to Prevent/Mitigate Hypoglycemic Events 141
User requirements for incorporating diabetes modeling techniques in disease management tools 140
Reconstruction of Glucose in Plasma from Interstitial Fluid Continuous Glucose Monitoring Data: Role of Sensor Calibration. 139
Glucose concentration can be predicted ahead in time from continuous glucose monitoring sensor time-series 137
Neural network incorporating meal information improves accuracy of short-time prediction of glucose concentration. 137
Real-time detection of glucose sensor and insulin pump faults in an artificial pancreas 136
Real-Time Improvement of Continuous Glucose-Monitoring Accuracy - The smart sensor concept 135
Model of glucose sensor error components: identification and assessment for new Dexcom G4 generation devices. 135
Enhanced accuracy of continuous glucose monitoring by online extended Kalman filtering 133
Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system. 133
Continuous Glucose Monitoring Sensors for Diabetes Management: A Review of Technologies and Applications 133
Diabetes and Prediabetes Classification Using Glycemic Variability Indices From Continuous Glucose Monitoring Data 132
A new neural network approach for short-term glucose prediction using continuous glucose monitoring time-series and meal information. 131
Enhancing the accuracy of subcutaneous glucose sensors: a real-time deconvolution-based approach. 131
“Algorithmically Smart” Continuous Glucose Sensor Concept for Diabetes Monitoring 131
Characterizing multisegment foot kinematics during gait in diabetic foot patients. 130
Optimal insulin bolus dosing in type 1 diabetes management: neural network approach exploiting CGM sensor information 130
GLUCOMFORT: A noninvasive tattoo-based continuous GLUCOse Monitoring electronic system FOR Type-1 diabetes individuals 129
Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms. 129
Modeling transient disconnections and compression artifacts of continuous glucose sensors 129
Toward Calibration-Free Continuous Glucose Monitoring Sensors: Bayesian Calibration Approach Applied to Next-Generation Dexcom Technology 128
Sparse Principal Component Analysis for the Parsimonious Description of Glucose Variability in Diabetes 127
A telemonitoring service supporting preterm newborns care in a neonatal intensive care unit 127
Modeling the Error of Continuous Glucose Monitoring Sensor Data: Critical Aspects Discussed through Simulation Studies 126
Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device 126
A new index to optimally design and compare continuous glucose monitoring glucose prediction algorithms 125
Non-Invasive Continuous Glucose Monitoring with Multi-Sensor Systems: A Monte Carlo-Based Methodology for Assessing Calibration Robustness 125
Reduction of Number and Duration of Hypoglycemic Events by Glucose Prediction Methods: A Proof-of-Concept In Silico Study 124
Remote blood glucose monitoring in mHealth scenarios: A review 124
Detecting failures of the glucose sensor-insulin pump system: improved overnight safety monitoring for Type-1 diabetes. 122
A Neural-Network-Based Approach to Personalize Insulin Bolus Calculation Using Continuous Glucose Monitoring 122
Glucose variability indices in type 1 diabetes: parsimonious set of indices revealed by sparse principal component analysis 119
A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data 119
Patient decision-making of CGM sensor driven insulin therapies in type 1 diabetes: In silico assessment 118
Multinational study of subcutaneous model-predictive closed-loop control in type 1 diabetes mellitus: summary of the results. 117
Expected accuracy of proximal and distal temperature estimated by wireless sensors, in relation to their number and position on the skin 117
An Online Self-Tunable Method to Denoise CGM Sensor Data. 116
A Model of Self-Monitoring Blood Glucose Measurement Error 116
Importance of Recalibrating Models for Type 2 Diabetes Onset Prediction: Application of the Diabetes Population Risk Tool on the Health and Retirement Study 116
Accuracy comparison between Dexcom G5 and Eversense sensors 116
Reduction of Blood Glucose Measurements to Calibrate Subcutaneous Glucose Sensors: A Bayesian Multiday Framework 115
Parsimonious Description of Glucose Variability in Type 2 Diabetes by Sparse Principal Component Analysis 114
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 114
Model-Based Detection and Classification of Insulin Pump Faults and Missed Meal Announcements in Artificial Pancreas Systems for Type 1 Diabetes Therapy 114
Continuous Glucose Monitoring: Current Use in Diabetes Management and Possible Future Applications 113
Physical Activity Measured by Physical Activity Monitoring System Correlates with Glucose Trends Reconstructed from Continuous Glucose Monitoring 112
Regularised Model Identification Improves Accuracy of Multisensor Systems for Noninvasive Continuous Glucose Monitoring in Diabetes Management 112
Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy 112
Accuracy of devices for self-monitoring of blood glucose: A stochastic error model 111
Combining continuous glucose monitoring and insulin pumps to automatically tune the basal insulin infusion in diabetes therapy: a review 111
A CONSENSUS MODEL TO IMPROVE THE PREDICTION OF TYPE 2 DIABETES ONSET: VALIDATION ON THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS DATA 111
Continuous glucose monitoring time series and hypo/hyperglycemia prevention: requirements, methods, open problems. 110
Jump Neural Network for Online Short-Time Prediction of BloodGlucose from Continuous Monitoring Sensors and Meal Information 110
A predictive model of neonatal hypoglycemia using pregnancy-related features and continuous glucose monitoring data 109
METHOD TO RECALIBRATE CONTINUOUS GLUCOSE MONITORING DATA IN REAL-TIME 109
Alert System for Hypo and Hyperglycemia Prevention based on Clinical Risk 109
Predicting Insulin Treatment Scenarios with the Net Effect Method: Domain of Validity 108
An analytical approach to determine the optimal duration of continuous glucose monitoring data required to reliably estimate time in hypoglycemia 108
Supervised Learning-based Detection of Pressure-induced Failures in Continuous Glucose Sensors 107
Continuous glucose monitoring sensors: Past, present and future algorithmic challenges 107
Online Denoising Method to Handle Intraindividual Variability of Signal-to-Noise Ratio in Continuous Glucose Monitoring 106
Physical Activity Measured by PAMS device Correlates with First- and Second-Order Glucose Concentration Derivatives 106
Modeling Carbohydrate Counting Error in Type 1 Diabetes Management 106
An Online Failure Detection Method of the Glucose Sensor-Insulin Pump System: Improved Overnight Safety of Type-1 Diabetic Subjects 105
Implantable and transcutaneous continuous glucose monitoring system: a randomized cross over trial comparing accuracy, efficacy and acceptance 105
Comparing the accuracy of transcutaneous sensor and 90-day implantable glucose sensor 104
Parsimonious Description of Glucose Variability in Type 2 Diabetes by Sparse Principal Component Analysis 103
Calibration of minimally invasive continuous glucose monitoring sensors: State-of-the-art and current perspectives 102
Personalized Subcutaneous Model-Predictive Closed-Loop Control of T1DM: Pilot Studies in the USA and Italy 101
On-line calibration of glucose sensors from the measured current by a time-varying calibration function and Bayesian priors 101
A template matching algorithm to identify unreported meals and improve quality of data collected on post-bariatric population: a feasibility study 100
Prediction of Glucose Concentration from CGM Data through AR Time-Series Models: Role of Sampling Frequency and Other Design Variables 100
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 100
Linear regression modelling to assess the impact of socio-economic, demographic and health-related variables on wellbeing in the elderly population 100
Totale 13.189
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Categoria #
all - tutte 92.346
article - articoli 46.892
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 1.828
selected - selezionate 0
volume - volumi 630
Totale 141.696
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/20212.089 0 0 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
2024/20256.897 75 643 276 246 879 178 458 639 582 240 1.099 1.582
2025/20265.002 962 2.064 1.976 0 0 0 0 0 0 0 0 0
Totale 26.072