TAVAZZI, ERICA
 Distribuzione geografica
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Continente #
NA - Nord America 4.148
AS - Asia 3.819
EU - Europa 2.450
SA - Sud America 717
AF - Africa 636
OC - Oceania 75
Continente sconosciuto - Info sul continente non disponibili 29
Totale 11.874
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Nazione #
US - Stati Uniti d'America 3.799
SG - Singapore 1.338
IT - Italia 914
CN - Cina 599
HK - Hong Kong 430
BR - Brasile 428
VN - Vietnam 404
IN - India 157
DE - Germania 150
FR - Francia 147
PL - Polonia 144
GB - Regno Unito 132
NL - Olanda 104
FI - Finlandia 102
BD - Bangladesh 100
PT - Portogallo 90
AR - Argentina 75
SE - Svezia 70
CA - Canada 69
JP - Giappone 64
TR - Turchia 62
MX - Messico 61
IQ - Iraq 60
RU - Federazione Russa 57
ES - Italia 55
ID - Indonesia 53
ZA - Sudafrica 51
BJ - Benin 50
PH - Filippine 50
KR - Corea 45
SA - Arabia Saudita 43
PK - Pakistan 40
AT - Austria 38
EC - Ecuador 37
CL - Cile 33
UA - Ucraina 33
AU - Australia 32
MA - Marocco 32
CO - Colombia 30
IE - Irlanda 29
BE - Belgio 27
GR - Grecia 27
MY - Malesia 27
CH - Svizzera 26
ET - Etiopia 24
PE - Perù 24
TN - Tunisia 24
DK - Danimarca 23
JO - Giordania 23
SI - Slovenia 23
NP - Nepal 22
TH - Thailandia 22
UZ - Uzbekistan 22
IR - Iran 21
AO - Angola 20
CZ - Repubblica Ceca 20
LB - Libano 20
UG - Uganda 20
VE - Venezuela 20
AL - Albania 19
GF - Guiana Francese 19
GM - Gambi 19
LV - Lettonia 19
PS - Palestinian Territory 19
BW - Botswana 18
KZ - Kazakistan 18
LA - Repubblica Popolare Democratica del Laos 18
MR - Mauritania 18
BO - Bolivia 17
CI - Costa d'Avorio 17
CY - Cipro 17
EE - Estonia 17
KE - Kenya 17
MD - Moldavia 17
MU - Mauritius 17
RO - Romania 17
SD - Sudan 17
AE - Emirati Arabi Uniti 16
DZ - Algeria 16
GA - Gabon 16
MG - Madagascar 16
PY - Paraguay 16
RS - Serbia 16
YT - Mayotte 16
AZ - Azerbaigian 15
CW - ???statistics.table.value.countryCode.CW??? 15
DO - Repubblica Dominicana 15
EG - Egitto 15
PR - Porto Rico 15
TT - Trinidad e Tobago 15
UY - Uruguay 15
ZW - Zimbabwe 15
BG - Bulgaria 14
CR - Costa Rica 14
GT - Guatemala 14
KG - Kirghizistan 14
BY - Bielorussia 13
BZ - Belize 13
CG - Congo 13
DJ - Gibuti 13
Totale 11.302
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Città #
Singapore 795
San Jose 777
Ashburn 602
Hong Kong 377
Los Angeles 162
Ho Chi Minh City 136
Padova 136
Beijing 124
Chandler 119
Santa Clara 111
Hanoi 103
Fairfield 100
Bytom 98
New York 93
Milan 90
Chicago 85
Munich 79
Boardman 73
Lauterbourg 65
Houston 59
The Dalles 59
Rome 57
Lisbon 56
Ann Arbor 53
São Paulo 50
Cotonou 49
Venice 48
Seattle 47
Helsinki 45
Tokyo 43
Turin 41
Orem 40
Turku 38
Wilmington 37
Woodbridge 37
Council Bluffs 36
Cambridge 35
Hefei 35
Warsaw 34
Denver 32
Des Moines 29
Montreal 29
Poplar 29
Johannesburg 28
Buffalo 27
Chennai 27
Stockholm 27
Medford 25
Princeton 25
Naples 24
Roxbury 23
Salt Lake City 23
Addis Ababa 22
Atlanta 22
Istanbul 22
Amman 21
Amsterdam 20
Brooklyn 20
Da Nang 20
Dallas 20
Dublin 20
Jeddah 20
Vienna 20
Kampala 19
Florence 18
Riga 18
Nuremberg 17
Padua 17
San Francisco 17
Guangzhou 16
Nouakchott 16
Tashkent 16
Antananarivo 15
Harare 15
Kuala Lumpur 15
Libreville 15
Luanda 15
Mumbai 15
Nairobi 15
Abidjan 14
Baku 14
Brescia 14
Cayenne 14
Montevideo 14
Pavia 14
Phoenix 14
Redondo Beach 14
Rio de Janeiro 14
Riyadh 14
Shanghai 14
Tampa 14
Vientiane 14
Athens 13
Baghdad 13
Belize City 13
Dong Ket 13
Haiphong 13
Lappeenranta 13
London 13
Mexico City 13
Totale 6.144
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Nome #
Investigating the Dynamics of Cardio-Metabolic Comorbidities and Their Interactions in Ageing Adults Through Dynamic Bayesian Networks 453
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge 292
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge 271
DYNAMITE: Integrating Archetypal Analysis and Process Mining for Interpretable Disease Progression Modelling 265
Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression 256
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review 229
Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study 227
Predicting functional impairment trajectories in amyotrophic lateral sclerosis: a probabilistic, multifactorial model of disease progression 227
Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression 222
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge 216
Value-Based Healthcare: studio pilota della Regione Veneto in ambito cardiochirurgico 213
Value-Based Healthcare approach in TAVI patients: preliminary results from the Veneto Region experience 213
A dynamic probabilistic model of the onset and interaction of cardio-metabolic comorbidities on an ageing adult population 212
Using Wearable and Environmental Data to Improve the Prediction of Amyotrophic Lateral Sclerosis and Multiple Sclerosis Progression: an Explorative Study 210
Exploring the Use of Projecting Conflicting Gradients in Multi-task Neural Networks with an Application to Amyotrophic Lateral Sclerosis 206
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022 205
Distance rendering and perception of nearby virtual sound sources with a near-field filter model 205
Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach 205
Dynamic Bayesian Networks and Transfer Learning Enable the Development of Deep Sequence-Based Models on Small-Sample Data 203
Functional impairment and survival prediction in Amyotrophic Lateral Sclerosis patients: a probabilistic model of disease progression 201
Development of predictive models for short-term prediction of disability progression in multiple sclerosis 198
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024 189
A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data 187
Functional impairment and survival prediction in Amyotrophic Lateral Sclerosis patients: a probabilistic model of disease progression 183
Machine Learning Models Highlight the Impact of Pollution and Weather Patterns on Relapse Occurrence in Multiple Sclerosis Patients 178
The Long Path to Usable AI 177
Functional impairment and survival prediction in Amyotrophic Lateral Sclerosis patients: a probabilistic model of disease progression 171
Predicting Multiple Sclerosis Worsening Using Stratification-Based and Time-Dependent Variables Extracted from Routine Visits Data 170
Relative Auditory Distance Discrimination With Virtual Nearby Sound Sources 166
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023 164
Explainable AI-Driven Prognostic Models in ALS: Insights from the BRAINTEASER Project 164
Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis 164
Unveiling Trustworthy AI Challenges: Characterizing Prediction Reliability 164
A Process Mining Approach to Statistical Analysis: Application to a Real-World Advanced Melanoma Dataset 163
Selected Articles From The 18th Conference On Computational Intelligence Methods For Bioinformatics & Biostatistics: medical informatics and decision making 162
Predicting clinical outcomes of amyotrophic lateral sclerosis progression using logistic regression and deep-learning multilayer perceptron approaches 160
A differential process mining analysis of COVID-19 management for cancer patients 157
Comparing Propensity Score-Based Methods in Estimating the Treatment Effect: A Simulation Study. 156
Towards Value-Based Healthcare and the Role of Regional Agencies: the Approach of the Veneto Region 155
Long-lasting, irreversible and late-onset immune-related adverse events (irAEs) from immune checkpoint inhibitors (ICIs): A real-world data analysis. 152
Outlining outcomes for Transcatheter Aortic Valve Implantation (TAVI) patients: towards a definition of “value” 152
What role can process mining play in recurrent clinical guidelines issues? A position paper 152
Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression. 150
Interpolation and K-Nearest Neighbours Combined Imputation for Longitudinal ICU Laboratory Data 148
A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population 148
Identifying Extreme Profiles in Amyotrophic Lateral Sclerosis Patients at Diagnosis through Archetypal Analysis 147
GEN-RWD Sandbox: bridging the gap between hospital data privacy and external research insights with distributed analytics 144
Selected articles from the 17th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2021) 142
Eleven quick tips for data cleaning and feature engineering 141
Improving Discrimination Performance in Artificial Intelligence Models for Rare Diseases: Strategies for Dealing with Data Scarcity 140
An adaptive K-Nearest Neighbours algorithm for the imputation of static and dynamic mixed-type clinical data 140
Exploiting the temporal dimension in clinical data mining 134
Improving value in TAVI patients: insights from the Veneto Region experience. 131
A process mining approach to real-world advanced melanoma treatments 130
Computational Intelligence Methods for Bioinformatics and Biostatistics - 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers 123
Modelling Inflammatory Bowel Diseases trajectories combining dynamic, multifactorial, Artificial Intelligence-based approaches 123
Late-onset and long-lasting immune-related adverse events from immune checkpoint-inhibitors: An overlooked aspect in immunotherapy 121
Identifying prototype model patients in Amyotrophic Lateral Sclerosis patients at diagnosis through Archetypal Analysis 115
Inspecting Progression Trajectories in Amyotrophic Lateral Sclerosis by using Process Mining: a Pilot Study 114
Discriminazione della distanza relativa tra sorgenti sonore virtuali 110
Inspecting Progression Trajectories in Amyotrophic Lateral Sclerosis using Process Mining 107
Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis 106
pMinShiny: a Graphical User Interface for Process Mining in Healthcare 103
An Innovative Tool for Trace Representation and Analysis in Process Mining in Healthcare 99
Selected articles from the 17th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2021) 97
GEN-RWD Sandbox: A Modular Architecture for Privacy-preserving Data Sharing for AI-driven Medical Research 87
Preface 87
Privacy-by-design GEN-RWD Sandbox for Distributed Multicentric Data Analysis in Healthcare: The Proxy Module 79
The BRAINTEASER Datasets: Clinical, Wearable and Environmental Data for ALS & MS Progression Modeling 77
Interactive Process Mining on Melanoma Real-World Data 70
Towards Distributed Process Discovery in Healthcare: Testing and Proving the Feasibility of the Federated Alpha+ Algorithm 61
The BRAINTEASER Datasets: Clinical, Wearable and Environmental Data for ALS & MS Progression Modeling 54
The association of environmental exposure with multiple sclerosis severity score: A study based on sequential data modeling 49
Exploring Relationships Between Maternal Characteristics, Continuous Glucose Monitoring Data, and Neonatal Hypoglycemia in Gestational Diabetes Pregnancies Using Probabilistic Modeling 27
Clusters of Personal Environmental Exposure for Investigating Multiple Sclerosis and Amyotrophic Lateral Sclerosis Progression 18
Deep Learning Model Predicts Relapse Occurrence in Multiple Sclerosis Via Sequences of Environmental Data 13
Predicting the Next Clinical Event in Amyotrophic Lateral Sclerosis using Process-Oriented Machine Learning Models: A Case Study 10
Evaluating propensity-score-based methods in treatment effect estimation: a simulation study 10
A Dynamic Bayesian Network Approach for Generating Synthetic Longitudinal Clinical Data: A Case Study on Long-Term Diabetes Outcomes 10
Deep Learning-Based ALS Patient Stratification 9
Simulation-based comparison of propensity score methods for treatment effect estimation on real-world data 9
Generating longitudinal synthetic data in type 2 diabetes using dynamic Bayesian networks: A case study on the LEADER trial dataset 6
Correction: A differential process mining analysis of COVID-19 management for cancer patients (Frontiers in Oncology, (2022), 12, (1043675), 10.3389/fonc.2022.1043675) 4
Federated I-PALIA: Privacy-By-Design Distributed Process Discovery for Duplicated Activities in Healthcare 4
A Multivariate Deep-Learning Approach for Stratifying Amyotrophic Lateral Sclerosis Patients Based on Temporal Dynamics 4
Totale 12.016
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Categoria #
all - tutte 28.520
article - articoli 7.529
book - libri 0
conference - conferenze 0
curatela - curatele 1.269
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 652
Totale 37.970
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/202167 0 0 0 0 0 0 0 0 0 0 36 31
2021/2022285 7 37 16 15 16 23 3 34 50 8 5 71
2022/2023321 48 38 15 19 29 24 2 18 60 14 33 21
2023/2024564 15 57 50 29 27 57 52 58 69 46 48 56
2024/20252.320 46 269 110 114 210 63 158 123 236 128 376 487
2025/20268.137 461 586 965 1.368 1.035 374 993 691 834 522 308 0
Totale 12.016