ZECCHIN, CHIARA
 Distribuzione geografica
Continente #
NA - Nord America 1.142
AS - Asia 212
EU - Europa 180
OC - Oceania 3
Continente sconosciuto - Info sul continente non disponibili 2
SA - Sud America 2
AF - Africa 1
Totale 1.542
Nazione #
US - Stati Uniti d'America 1.138
SG - Singapore 105
CN - Cina 75
FR - Francia 38
FI - Finlandia 37
VN - Vietnam 25
IT - Italia 24
SE - Svezia 23
GB - Regno Unito 20
DE - Germania 11
RU - Federazione Russa 8
IE - Irlanda 6
NL - Olanda 6
IR - Iran 3
MX - Messico 3
BR - Brasile 2
CZ - Repubblica Ceca 2
EU - Europa 2
NZ - Nuova Zelanda 2
SI - Slovenia 2
AU - Australia 1
CA - Canada 1
HK - Hong Kong 1
HU - Ungheria 1
ID - Indonesia 1
IL - Israele 1
NO - Norvegia 1
RO - Romania 1
TN - Tunisia 1
TR - Turchia 1
Totale 1.542
Città #
Woodbridge 160
Fairfield 158
Ann Arbor 125
Ashburn 78
Houston 75
Singapore 72
Santa Clara 63
Wilmington 57
Cambridge 48
Seattle 46
Chandler 42
Boardman 34
Dong Ket 23
Medford 23
Princeton 23
Nanjing 20
Des Moines 16
Roxbury 16
Helsinki 13
Beijing 10
San Diego 10
Padova 9
Shenyang 7
Cagliari 6
Dublin 6
Enterprise 6
Nanchang 6
Jiaxing 4
Changsha 3
Hebei 3
Monterrey 3
Camelford 2
Council Bluffs 2
Eindhoven 2
Hanoi 2
Jinan 2
Lappeenranta 2
Las Vegas 2
Munich 2
New York 2
Ningbo 2
Prague 2
San Jose 2
Shanghai 2
Swanley 2
São José dos Campos 2
Taizhou 2
Tappahannock 2
Tianjin 2
Veldhoven 2
Bethlehem 1
Brentford 1
Bristol 1
Canberra 1
Chengdu 1
Chicago 1
Falkenstein 1
Falls Church 1
Gautier 1
Gisborne 1
Guangzhou 1
Hamburg 1
Hefei 1
Hong Kong 1
Horia 1
Huzhou 1
Indiana 1
Jacksonville 1
Jakarta 1
Jersey City 1
Kilburn 1
Kunming 1
Lübeck 1
Middlesbrough 1
Mississauga 1
Naples 1
Ogden 1
Prescot 1
Rockville 1
Rome 1
Santa Fe 1
Sassari 1
Terschuur 1
Tromsø 1
Tunis 1
Turin 1
Yenibosna 1
Zhengzhou 1
Totale 1.241
Nome #
Online Glucose Prediction in Type-1 Diabetes by Neural Network Models 121
Neural network incorporating meal information improves accuracy of short-time prediction of glucose concentration. 114
Italian Contributions to the Development of Continuous Glucose Monitoring Sensors for Diabetes Management 109
A new neural network approach for short-term glucose prediction using continuous glucose monitoring time-series and meal information. 104
Reduction of Number and Duration of Hypoglycemic Events by Glucose Prediction Methods: A Proof-of-Concept In Silico Study 101
“Algorithmically Smart” Continuous Glucose Sensor Concept for Diabetes Monitoring 101
Physical Activity Measured by Physical Activity Monitoring System Correlates with Glucose Trends Reconstructed from Continuous Glucose Monitoring 86
Jump Neural Network for Online Short-Time Prediction of BloodGlucose from Continuous Monitoring Sensors and Meal Information 78
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 74
Physical Activity Measured by PAMS device Correlates with First- and Second-Order Glucose Concentration Derivatives 64
Jump Neural Network for Real-Time Prediction of Glucose ConcentrationArtificial Neural Networks 64
Dexcom G4AP: An Advanced Continuous Glucose Monitor for the Artificial Pancreas. 62
SYSTEMS AND METHODS FOR PROVIDING SENSITIVE AND SPECIFIC ALARMS 56
In silico study to assess potential reduction of severe hypoglycemia by Dexcom G4 Platinum research prototype implementing prediction-based hypoglycemic alerts 50
Comparison of different neural networks structures for the real-time prediction of glucose level 49
Hypoglycemic alerts generated by short-time glucose prediction reduce time spent in hypo: in silico study 48
A new neural network approach to improve effectiveness of short-term glucose prediction 46
Neural Network Based Prediction Algorithm to Prevent Hypoglycemia in Type-1 Diabetic Patients 43
Jump neural network for short time prediction of glucose concentration using meal information in type 1 diabetes 43
PHYSICAL ACTIVITY MEASURED BY PAMS VS. CGM TRENDS: CORRELATION ANALYSIS 41
Neural network for prediction of glucose concentration in type 1 diabetic patents 40
Prediction-Based Alerting Methods Could Reduce Number and Duration of Hypoglycemic Events: An In Silico Quantification 30
Are insulin and meal information useful for short- and mid-term prediction of glucose concentration? An in silico assessment 25
Totale 1.549
Categoria #
all - tutte 5.869
article - articoli 2.581
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 169
selected - selezionate 0
volume - volumi 288
Totale 8.907


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/202071 0 0 0 0 0 0 0 21 19 14 14 3
2020/2021170 8 5 1 10 4 41 5 9 34 5 14 34
2021/2022279 1 42 48 2 7 22 15 41 13 4 25 59
2022/2023157 39 2 1 13 30 24 3 6 22 1 11 5
2023/2024103 11 14 10 12 5 2 10 8 1 5 7 18
2024/2025266 10 96 23 5 90 5 16 21 0 0 0 0
Totale 1.549