TAVAZZI, ERICA
 Distribuzione geografica
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Continente #
NA - Nord America 4.222
AS - Asia 3.851
EU - Europa 2.494
SA - Sud America 717
AF - Africa 636
OC - Oceania 75
Continente sconosciuto - Info sul continente non disponibili 29
Totale 12.024
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Nazione #
US - Stati Uniti d'America 3.865
SG - Singapore 1.338
IT - Italia 945
CN - Cina 599
HK - Hong Kong 430
BR - Brasile 428
VN - Vietnam 404
IN - India 157
DE - Germania 152
FR - Francia 147
PL - Polonia 144
BD - Bangladesh 132
GB - Regno Unito 132
NL - Olanda 105
FI - Finlandia 102
PT - Portogallo 92
AR - Argentina 75
CA - Canada 75
SE - Svezia 70
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
BE - Belgio 29
IE - Irlanda 29
CH - Svizzera 28
GR - Grecia 27
MY - Malesia 27
DK - Danimarca 24
ET - Etiopia 24
PE - Perù 24
TN - Tunisia 24
CZ - Repubblica Ceca 23
JO - Giordania 23
SI - Slovenia 23
NP - Nepal 22
TH - Thailandia 22
UZ - Uzbekistan 22
IR - Iran 21
AO - Angola 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
JM - Giamaica 14
KG - Kirghizistan 14
BY - Bielorussia 13
BZ - Belize 13
CG - Congo 13
Totale 11.451
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Città #
San Jose 799
Singapore 795
Ashburn 605
Hong Kong 377
Los Angeles 163
Ho Chi Minh City 136
Padova 136
Beijing 124
Chandler 119
Santa Clara 112
Hanoi 103
Fairfield 100
Bytom 98
New York 94
Milan 90
Chicago 87
Munich 79
Boardman 73
Lauterbourg 65
Houston 61
The Dalles 59
Rome 58
Lisbon 56
Ann Arbor 54
Venice 51
São Paulo 50
Cotonou 49
Seattle 48
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
Nuremberg 19
Padua 19
Florence 18
Riga 18
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 6.186
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Nome #
Investigating the Dynamics of Cardio-Metabolic Comorbidities and Their Interactions in Ageing Adults Through Dynamic Bayesian Networks 456
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge 293
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge 273
DYNAMITE: Integrating Archetypal Analysis and Process Mining for Interpretable Disease Progression Modelling 266
Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression 256
A dynamic probabilistic model of the onset and interaction of cardio-metabolic comorbidities on an ageing adult population 239
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 228
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 223
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge 217
Using Wearable and Environmental Data to Improve the Prediction of Amyotrophic Lateral Sclerosis and Multiple Sclerosis Progression: an Explorative Study 214
Value-Based Healthcare approach in TAVI patients: preliminary results from the Veneto Region experience 214
Exploring the Use of Projecting Conflicting Gradients in Multi-task Neural Networks with an Application to Amyotrophic Lateral Sclerosis 213
Value-Based Healthcare: studio pilota della Regione Veneto in ambito cardiochirurgico 213
Distance rendering and perception of nearby virtual sound sources with a near-field filter model 206
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022 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 202
Development of predictive models for short-term prediction of disability progression in multiple sclerosis 199
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 184
Machine Learning Models Highlight the Impact of Pollution and Weather Patterns on Relapse Occurrence in Multiple Sclerosis Patients 181
The Long Path to Usable AI 178
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
Explainable AI-Driven Prognostic Models in ALS: Insights from the BRAINTEASER Project 166
Relative Auditory Distance Discrimination With Virtual Nearby Sound Sources 166
Unveiling Trustworthy AI Challenges: Characterizing Prediction Reliability 165
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023 164
Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis 164
A Process Mining Approach to Statistical Analysis: Application to a Real-World Advanced Melanoma Dataset 164
Predicting clinical outcomes of amyotrophic lateral sclerosis progression using logistic regression and deep-learning multilayer perceptron approaches 162
Selected Articles From The 18th Conference On Computational Intelligence Methods For Bioinformatics & Biostatistics: medical informatics and decision making 162
A differential process mining analysis of COVID-19 management for cancer patients 159
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. 154
Outlining outcomes for Transcatheter Aortic Valve Implantation (TAVI) patients: towards a definition of “value” 153
What role can process mining play in recurrent clinical guidelines issues? A position paper 153
Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression. 151
Identifying Extreme Profiles in Amyotrophic Lateral Sclerosis Patients at Diagnosis through Archetypal Analysis 149
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
GEN-RWD Sandbox: bridging the gap between hospital data privacy and external research insights with distributed analytics 146
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 142
An adaptive K-Nearest Neighbours algorithm for the imputation of static and dynamic mixed-type clinical data 141
Improving Discrimination Performance in Artificial Intelligence Models for Rare Diseases: Strategies for Dealing with Data Scarcity 140
Exploiting the temporal dimension in clinical data mining 135
Improving value in TAVI patients: insights from the Veneto Region experience. 133
A process mining approach to real-world advanced melanoma treatments 130
Late-onset and long-lasting immune-related adverse events from immune checkpoint-inhibitors: An overlooked aspect in immunotherapy 125
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
Inspecting Progression Trajectories in Amyotrophic Lateral Sclerosis using Process Mining 118
Identifying prototype model patients in Amyotrophic Lateral Sclerosis patients at diagnosis through Archetypal Analysis 117
Inspecting Progression Trajectories in Amyotrophic Lateral Sclerosis by using Process Mining: a Pilot Study 115
Discriminazione della distanza relativa tra sorgenti sonore virtuali 110
Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis 108
An Innovative Tool for Trace Representation and Analysis in Process Mining in Healthcare 104
pMinShiny: a Graphical User Interface for Process Mining in Healthcare 103
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 88
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 79
Interactive Process Mining on Melanoma Real-World Data 71
Towards Distributed Process Discovery in Healthcare: Testing and Proving the Feasibility of the Federated Alpha+ Algorithm 62
The association of environmental exposure with multiple sclerosis severity score: A study based on sequential data modeling 54
The BRAINTEASER Datasets: Clinical, Wearable and Environmental Data for ALS & MS Progression Modeling 54
Exploring Relationships Between Maternal Characteristics, Continuous Glucose Monitoring Data, and Neonatal Hypoglycemia in Gestational Diabetes Pregnancies Using Probabilistic Modeling 31
Clusters of Personal Environmental Exposure for Investigating Multiple Sclerosis and Amyotrophic Lateral Sclerosis Progression 22
Deep Learning-Based ALS Patient Stratification 17
Predicting the Next Clinical Event in Amyotrophic Lateral Sclerosis using Process-Oriented Machine Learning Models: A Case Study 15
A Dynamic Bayesian Network Approach for Generating Synthetic Longitudinal Clinical Data: A Case Study on Long-Term Diabetes Outcomes 13
Deep Learning Model Predicts Relapse Occurrence in Multiple Sclerosis Via Sequences of Environmental Data 13
Evaluating propensity-score-based methods in treatment effect estimation: a simulation study 10
A Multivariate Deep-Learning Approach for Stratifying Amyotrophic Lateral Sclerosis Patients Based on Temporal Dynamics 10
Simulation-based comparison of propensity score methods for treatment effect estimation on real-world data 10
Generating longitudinal synthetic data in type 2 diabetes using dynamic Bayesian networks: A case study on the LEADER trial dataset 8
Federated I-PALIA: Privacy-By-Design Distributed Process Discovery for Duplicated Activities in Healthcare 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) 5
Environmental Personal Exposure Clusters to Investigate Multiple Sclerosis and Amyotrophic Lateral Sclerosis Progression 3
GRAPHIA: Patient-Specific Weighting of Gene Interaction Networks Reveals Transcriptomic Dysregulation via Optimal Transport 1
Totale 12.170
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Categoria #
all - tutte 29.286
article - articoli 7.754
book - libri 0
conference - conferenze 0
curatela - curatele 1.283
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 668
Totale 38.991
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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
2025/20268.291 461 586 965 1.368 1.035 374 993 691 834 522 462 0
Totale 12.170