DAGLIATI, ARIANNA
 Distribuzione geografica
Continente #
NA - Nord America 3.116
AS - Asia 2.307
EU - Europa 1.783
SA - Sud America 327
AF - Africa 148
OC - Oceania 10
Continente sconosciuto - Info sul continente non disponibili 1
Totale 7.692
Nazione #
US - Stati Uniti d'America 3.001
CN - Cina 831
SG - Singapore 593
IE - Irlanda 324
VN - Vietnam 319
HK - Hong Kong 267
IT - Italia 265
RU - Federazione Russa 249
BR - Brasile 240
DE - Germania 210
FI - Finlandia 148
FR - Francia 142
ES - Italia 133
ZA - Sudafrica 95
GB - Regno Unito 72
IN - India 71
CA - Canada 68
SE - Svezia 57
BD - Bangladesh 54
UA - Ucraina 45
JP - Giappone 40
MX - Messico 36
AR - Argentina 32
NL - Olanda 29
IQ - Iraq 25
PL - Polonia 23
BE - Belgio 15
PK - Pakistan 15
TR - Turchia 15
EC - Ecuador 14
CO - Colombia 13
ID - Indonesia 13
CZ - Repubblica Ceca 12
AT - Austria 10
AU - Australia 10
LT - Lituania 10
MA - Marocco 10
PH - Filippine 9
CH - Svizzera 8
CL - Cile 8
EG - Egitto 8
MY - Malesia 7
UZ - Uzbekistan 7
LV - Lettonia 6
VE - Venezuela 6
JO - Giordania 5
KE - Kenya 5
KR - Corea 5
PT - Portogallo 5
TN - Tunisia 5
DK - Danimarca 4
ET - Etiopia 4
KZ - Kazakistan 4
OM - Oman 4
PE - Perù 4
PY - Paraguay 4
AL - Albania 3
BO - Bolivia 3
DZ - Algeria 3
JM - Giamaica 3
NG - Nigeria 3
RO - Romania 3
SA - Arabia Saudita 3
TW - Taiwan 3
UY - Uruguay 3
AE - Emirati Arabi Uniti 2
BG - Bulgaria 2
BJ - Benin 2
CG - Congo 2
CR - Costa Rica 2
HN - Honduras 2
IL - Israele 2
IR - Iran 2
NO - Norvegia 2
NP - Nepal 2
PS - Palestinian Territory 2
SN - Senegal 2
TH - Thailandia 2
AO - Angola 1
AZ - Azerbaigian 1
BA - Bosnia-Erzegovina 1
CW - ???statistics.table.value.countryCode.CW??? 1
DJ - Gibuti 1
DO - Repubblica Dominicana 1
EE - Estonia 1
GN - Guinea 1
GR - Grecia 1
GT - Guatemala 1
HR - Croazia 1
KG - Kirghizistan 1
KW - Kuwait 1
LB - Libano 1
LY - Libia 1
MD - Moldavia 1
MZ - Mozambico 1
NI - Nicaragua 1
PA - Panama 1
RW - Ruanda 1
SC - Seychelles 1
SI - Slovenia 1
Totale 7.689
Città #
Dallas 441
San Jose 428
Singapore 325
Dublin 324
Chandler 266
Hong Kong 261
Ashburn 257
Beijing 208
Boardman 136
Nanjing 103
Ho Chi Minh City 97
Los Angeles 95
Jacksonville 93
Munich 93
Johannesburg 89
Hanoi 82
New York 81
Lauterbourg 71
Turku 64
Moscow 55
Helsinki 51
Nanchang 50
Ann Arbor 49
Council Bluffs 48
Princeton 47
Shanghai 44
Pavia 43
Lawrence 42
Wilmington 41
Medford 40
Milan 38
Redondo Beach 38
São Paulo 38
Changsha 37
Tokyo 35
Shenyang 31
Montreal 29
Buffalo 27
Chicago 26
Jiaxing 26
Orem 26
Hebei 25
Nuremberg 24
Santa Clara 24
Frankfurt am Main 23
Seattle 22
Tianjin 22
Toronto 21
Brooklyn 20
Da Nang 20
The Dalles 18
Mexico City 17
Warsaw 17
Haiphong 16
Hangzhou 16
London 16
Brussels 15
Chennai 15
Denver 15
Stockholm 15
Boston 14
Naples 14
Amsterdam 13
Dearborn 13
Phoenix 13
Guangzhou 12
New Delhi 12
Piscataway 12
Baghdad 11
Norwalk 11
Rome 11
Bologna 10
Manchester 10
Biên Hòa 9
Brno 9
Woodbridge 9
Atlanta 8
Columbus 8
Falkenstein 8
Houston 7
Hyderabad 7
Mumbai 7
San Francisco 7
Tashkent 7
Turin 7
Des Moines 6
Düsseldorf 6
Hải Dương 6
Nha Trang 6
Paris 6
Poplar 6
Thái Bình 6
Zhengzhou 6
Cairo 5
Erbil 5
Genoa 5
Jinan 5
Lahore 5
Madrid 5
Messina 5
Totale 5.068
Nome #
A dashboard-based system for supporting diabetes care 247
Exploring Usability Standards in Robotic Rehabilitation: A Meta-Analysis of System Usability Scale Scores 230
A data gathering framework to collect Type 2 diabetes patients data 164
Analyzing Complex Patients’ Temporal Histories: New Frontiers in Temporal Data MiningData Mining in Clinical Medicine 162
An integrated framework to collect and investigate multisource clinical and environmental data of T2D patients 147
Temporal data mining and process mining techniques to identify cardiovascular risk-associated clinical pathways in Type 2 diabetes patients 140
LONGITUDINAL DATA ANALYTICS FOR CLINICAL DECISION SUPPORT IN TYPE 2 DIABETES 135
Hospitalizations Associated With Mental Health Conditions Among Adolescents in the US and France During the COVID-19 Pandemic 130
A proposal of architecture to share patients data out of healthcare settings for research purposesIEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 122
Inferring temporal phenotypes with topological data analysis and pseudo time-series 122
Improving Clinical Decisions on T2DM Patients Integrating Clinical, Administrative and Environmental Data 120
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 119
User requirements for incorporating diabetes modeling techniques in disease management tools 119
CARDIO-i2b2: integrating arrhythmogenic disease data in i2b2. 117
Data Integration Technologies to Improve Clinical Decisions on T2DM Patients 117
Evolving phenotypes of non-hospitalized patients that indicate long COVID 116
Careflow Mining Techniques to Explore Type 2 Diabetes Evolution 116
Comparison of two temporal abstraction procedures: a case study in prediction from monitoring data. 114
IC prediction from patient monitoring data: a comparison of two temporal abstraction procedures 113
Machine Learning Methods to Predict Diabetes Complications 113
Continuous Markov Models for Analyzing the Effect of Environmental Personal Exposure on Multiple Sclerosis Progression 112
Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective 110
Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools 110
International Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries 109
Temporal electronic phenotyping by mining careflows of breast cancer patients 108
Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium 105
An ICT infrastructure to integrate clinical and molecular data in oncology research. 105
Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study 104
Big Data Technologies: New Opportunities for Diabetes Management 104
Mining post-surgical care processes in breast cancer patients 104
Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study 103
Improving risk-stratification of Diabetes complications using temporal data mining 103
Risk factors for the development of micro-vascular complications of type 2 diabetes in a single-centre cohort of patients 102
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients 100
Inferring air quality maps from remotely sensed data to exploit georeferenced clinical onsets: The Pavia 2013 case 99
ONCO-i2b2: improve patients selection through CBR techniques with heterogeneous distance functions 99
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024 98
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review 97
Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19 93
Potential pitfalls in the use of real-world data for studying long COVID 92
Smartphone-based self-management of non-insulin-dependent diabetes: a Japanese system ot use by an italian patients' cohort 92
Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records 91
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality 90
Clinical and research data integration: the i2b2-FSM experience 90
Temporal abstractions to enrich Activity-Based Process Mining corpus with clinical time seriesIEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 90
RelAI: an automated approach to judge pointwise ML prediction reliability 89
Learning T2D evolving complexity from EMR and administrative data by means of Continuous time Bayesian networks 89
Hierarchical Bayesian Logistic Regression to forecast metabolic control in type 2 DM patients 88
pMineR: An Innovative R Library for Performing Process Mining in Medicine 87
What every reader should know about studies using electronic health record data but may be afraid to ask 86
Predicting and Explaining Risk of Disease Worsening Using Temporal Features in Multiple Sclerosis 85
Taking a walk avoiding polluted routes: an application to a virtual coach for cancer 84
A Process Mining Pipeline to Characterize COVID-19 Patients' Trajectories and Identify Relevant Temporal Phenotypes From EHR Data 84
Integration of Administrative, Clinical, and Environmental Data to Support the Management of Type 2 Diabetes Mellitus: From Satellites to Clinical Care 84
The ONCO-I2b2 Project: Integrating Biobank Information and Clinical Data to Support Translational Research in Oncology. 82
Generating and Comparing Knowledge Graphs of Medical Processes Using pMineR 82
Machine Learning Models Highlight the Impact of Pollution and Weather Patterns on Relapse Occurrence in Multiple Sclerosis Patients 81
Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with SARS-CoV-2 81
On The Correlation Between Geo-Referenced Clinical Data And Remotely Sensed Air Pollution Maps 80
OptiMissP: A dashboard to assess missingness in proteomic data-independent acquisition mass spectrometry 80
CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: A clinically-inspired deep learning pipeline 79
Health informatics and EHR to support clinical research in the COVID-19 pandemic: An overview 75
Evaluation of XAI on ALS 6-months mortality prediction 73
International changes in COVID-19 clinical trajectories across 315 hospitals and 6 countries: Retrospective cohort study 72
Machine Learning-Based Approach towards Identification of Pharmaceutical Suspensions Exploiting Speckle Pattern Images 69
SynthCheck: A Dashboard for Synthetic Data Quality Assessment 67
An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology 66
Incorporating repeating temporal association rules in Naïve Bayes classifiers for coronary heart disease diagnosis 65
What every reader should know about studies using electronic health record data but may be afraid to ask 63
Latent Class Trajectory Modeling of 2-Component Disease Activity Score in 28 Joints Identifies Multiple Rheumatoid Arthritis Phenotypes of Response to Biologic Disease-Modifying Antirheumatic Drugs 61
The use of missing values in proteomic data-independent acquisition mass spectrometry to enable disease activity discrimination 59
International changes in COVID-19 clinical trajectories across 315 hospitals and 6 countries: Retrospective cohort study 59
Croplands proximity is associated with amyotrophic lateral sclerosis incidence and age at onset 59
Land Use Regression on Interpolated Urban Graphs to Assess Personal Exposure to Air Pollution 58
A retrospective cohort analysis leveraging augmented intelligence to characterize long COVID in the electronic health record: A precision medicine framework 56
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? 54
How good is your synthetic data? SynthRO, a dashboard to evaluate and benchmark synthetic tabular data 51
SurvMaximin: Robust federated approach to transporting survival risk prediction models 50
Pride and prejudice–What can we learn from peer review? 46
Temporal Characterization of Glycemia Risk Index Sequences through Random Walk Bayesian Clustering 35
Sex and apoe genotype differences related to statin use in the aging population 30
The association of environmental exposure with multiple sclerosis severity score: A study based on sequential data modeling 20
Effect of Environmental Personal Exposure on Amyotrophic Lateral Sclerosis Disease Progression 18
The BRAINTEASER Datasets: Clinical, Wearable and Environmental Data for ALS & MS Progression Modeling 8
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge 3
Environmental Personal Exposure Clusters to Investigate Multiple Sclerosis and Amyotrophic Lateral Sclerosis Progression 3
Deep Learning Model Predicts Relapse Occurrence in Multiple Sclerosis Via Sequences of Environmental Data 2
Latent class analysis identifies novel coeliac disease subgroups with distinctive clinical features: a multicentric study 1
Totale 7.837
Categoria #
all - tutte 31.219
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 31.219


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/202114 0 0 0 0 0 0 0 0 0 0 0 14
2021/2022249 4 3 12 6 3 17 5 20 14 7 26 132
2022/2023807 79 65 13 56 57 75 1 47 370 9 19 16
2023/2024480 57 49 26 26 24 77 22 37 5 22 30 105
2024/20251.497 59 91 39 27 19 85 128 95 343 89 182 340
2025/20264.007 241 228 549 414 409 172 732 226 394 312 214 116
Totale 7.837