IRIS Institutional Research Information System

Osmani, Venet
 Distribuzione geografica
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Continente #
EU - Europa 2.483
NA - Nord America 2.036
AS - Asia 1.028
SA - Sud America 157
AF - Africa 12
OC - Oceania 9
Continente sconosciuto - Info sul continente non disponibili 3
Totale 5.728
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Nazione #
US - Stati Uniti d'America 1.995
RU - Federazione Russa 870
DE - Germania 429
SG - Singapore 396
IT - Italia 394
HK - Hong Kong 221
FI - Finlandia 161
BR - Brasile 147
CN - Cina 146
NL - Olanda 110
UA - Ucraina 106
SE - Svezia 99
IE - Irlanda 75
IN - India 75
GB - Regno Unito 57
VN - Vietnam 40
BE - Belgio 31
CZ - Repubblica Ceca 31
CA - Canada 30
JP - Giappone 26
IL - Israele 25
FR - Francia 20
ES - Italia 16
CH - Svizzera 15
KR - Corea 14
TR - Turchia 13
IR - Iran 11
LT - Lituania 11
GR - Grecia 10
AT - Austria 9
BD - Bangladesh 9
DK - Danimarca 9
PK - Pakistan 9
AU - Australia 7
MX - Messico 7
HR - Croazia 6
IQ - Iraq 6
TW - Taiwan 6
PH - Filippine 5
SI - Slovenia 5
JO - Giordania 4
PL - Polonia 4
AR - Argentina 3
EC - Ecuador 3
EG - Egitto 3
EU - Europa 3
HU - Ungheria 3
KE - Kenya 3
MK - Macedonia 3
MY - Malesia 3
TH - Thailandia 3
UZ - Uzbekistan 3
AZ - Azerbaigian 2
BG - Bulgaria 2
BN - Brunei Darussalam 2
CO - Colombia 2
DO - Repubblica Dominicana 2
ID - Indonesia 2
KG - Kirghizistan 2
LK - Sri Lanka 2
LY - Libia 2
MA - Marocco 2
NZ - Nuova Zelanda 2
PT - Portogallo 2
SK - Slovacchia (Repubblica Slovacca) 2
AL - Albania 1
CR - Costa Rica 1
HN - Honduras 1
KZ - Kazakistan 1
LA - Repubblica Popolare Democratica del Laos 1
LV - Lettonia 1
PY - Paraguay 1
RO - Romania 1
TM - Turkmenistan 1
TN - Tunisia 1
VE - Venezuela 1
ZA - Sudafrica 1
Totale 5.728
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Città #
Chandler 478
Moscow 232
Hong Kong 213
Jacksonville 188
Singapore 186
Trento 185
Helsinki 146
Munich 122
Ashburn 118
Boardman 114
The Dalles 81
Kronberg 80
Dublin 75
Los Angeles 65
Brooklyn 60
Wilmington 59
Dong Ket 39
Ann Arbor 37
New York 31
Santa Clara 31
Brussels 29
Amsterdam 26
Brno 26
Dearborn 24
Bolzano 23
Falkenstein 22
Tokyo 22
Beijing 19
Phoenix 18
Shanghai 17
Miami 15
Toronto 15
Redwood City 13
Secaucus 13
Assago 12
Guangzhou 12
Ottawa 12
Sheffield 12
La Jolla 10
Norwalk 10
Rio de Janeiro 10
São Paulo 10
Paese 9
Verona 9
London 8
Portland 8
Nuremberg 7
San Mateo 7
Council Bluffs 6
Frankfurt am Main 6
Leawood 6
Nanjing 6
Vienna 6
Hanover 5
New Taipei 5
Pune 5
Redmond 5
Seoul 5
Trieste 5
Andover 4
Athens 4
Augusta 4
Basingstoke 4
Bologna 4
Columbia 4
Gunzenhausen 4
Islamabad 4
Milan 4
Padova 4
Sacramento 4
Vicenza 4
Ardabil 3
Bottrop 3
Brescia 3
Cairo 3
Cologne 3
Felanitx 3
Fremont 3
Izmir 3
Jyväskylä 3
Lausanne 3
Madrid 3
Mexico City 3
None 3
Roques 3
Seattle 3
Shenzhen 3
São José do Rio Preto 3
Tashkent 3
Turku 3
Zanjan 3
Zhengzhou 3
Abbottabad 2
Augsburg 2
Baku 2
Bandar Seri Begawan 2
Barcelona 2
Barnsley 2
Belo Horizonte 2
Bengaluru 2
Totale 3.145
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Nome #
Blood Lactate Concentration Prediction in Critical Care 292
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review 223
Automatic Stress Detection in Working Environments from Smartphones Accelerometer Data: A First Step 149
Use of eHealth Platforms and Apps to Support Monitoring and Management of Home-Quarantined Patients With COVID-19 in the Province of Trento, Italy: App Development and Implementation 137
Mobile Health Systems for Bipolar Disorder 131
Benchmarking machine learning models on multi-centre eICU critical care dataset 130
Monitoring and detecting faults in wastewater treatment plants using deep learning 126
Gastroenterologist against the machine-opportunities and limitations of machine learning models for prediction of advanced adenoma 121
Classification of bipolar disorder episodes based on analysis of voice and motor activity of patients 116
Correlation of significant places with self-reported state of patients with bipolar disorder 98
Stress Modelling and Prediction in Presence of Scarce Data 97
Smartphone apps usage patterns as a predictor of perceived stress levels at workplace 97
Automatic processing of Electronic Medical Records using Deep Learning 96
Challenges and opportunities in evolving TreC personal health record platform 95
Disease-course adapting machine learning prognostication models in critically ill elderly COVID-19 patients: a multi-centre cohort study with external validation 94
Smartphone app usage as a predictor of perceived stress levels at workplace 93
Processing of Electronic Health Records using Deep Learning: A review 91
An Analysis of Distance Estimation to Detect Proximity in Social Interactions 87
Machine learning predicts mortality in septic patients using only routinely available ABG variables: a multi-centre evaluation 87
Vital signs as a source of racial bias 85
Detecting Walking in Synchrony through Smartphone Accelerometer and Wi-Fi traces 83
Detecting dressing failures using temporal–relational visual grammars 82
Predicting delirium risk for the following 24 hours in critically ill patients using deep learning 82
Automatic Sensing of Speech Activity and Correlation with Mood Changes 80
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation 79
Failure of Lactate Clearance Predicts the Outcome of Critically Ill Septic Patients 77
Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation 77
Artificial intelligence of imaging and clinical neurological data for predictive, preventive and personalized (P3) medicine for Parkinson Disease: The NeuroArtP3 protocol for a multi-center research study 76
Unobtrusive Stress Assessment Using Smartphones 76
Prediction of blood lactate values in critically ill patients: a retrospective multi-center cohort study 76
Trade-offs in Monitoring Social Interactions 74
Correlation Between Self-Reported Mood States and Objectively Measured Social Interactions at Work: A Pilot Study 74
Comm2Sense: Detecting proximity through smartphones 73
Investigating Presence of Ethnoracial Bias in Clinical Data using Machine Learning 73
Sex-specific outcomes and management in critically ill septic patients 72
Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation 72
Mobile Phones as Medical Devices in Mental Disorder Treatment: an overview 71
Smartphone Based Recognition of States and State Changes in Bipolar Disorder Patients 71
Red Cell Distribution Width is independently associated with Mortality in Sepsis 71
Data-Driven Analysis of Parkinson's Disease and its Detection at an Early Stage 70
Analysis of Social Interactions Through Mobile Phones 70
Underweight but not overweight is associated with excess mortality in septic ICU patients 69
Machine Learning Models Cannot Replace Screening Colonoscopy for the Prediction of Advanced Colorectal Adenoma 69
Investigating correlation between verbal interactions and perceived stress 67
A Bayesian Network and Rule-Base Approach Towards Activity Inference 67
Stress Modelling Using Transfer Learning in Presence of Scarce Data 66
AID-ME: Automatic identification of dressing failures through monitoring of patients and activity Evaluation 66
Enabling Prescription-based Health Apps 64
ICU-Mortality in Old and Very Old Patients Suffering From Sepsis and Septic Shock 60
FINDR: Low-Cost Indoor Positioning Using FM Radio 59
Management of intoxicated patients – a descriptive outcome analysis of 4,267 ICU patients 59
Prediction of stress levels in the workplace using surrounding stress 58
Automatically detecting Crohn’s disease and Ulcerative Colitis from endoscopic imaging 56
From Ubiquitous Computing to Human Aware Networking: Exploiting the Know-how of Ubicomp Research for Improving Networked-User Experience 54
Realising Anticipatory Networks Through Human Aware Networking 53
Mobile Monitoring of Formal and Informal Social Interactions at Workplace 53
Delirium prediction in the ICU: designing a screening tool for preventive interventions 52
Speech activity detection using accelerometer 51
COVID-19 machine learning model predicts outcomes in older patients from various European countries, between pandemic waves, and in a cohort of Asian, African, and American patients 50
The evolution of personalized healthcare and the pivotal role of European regions in its implementation 49
Mental health and the impact of ubiquitous technologies 49
The impact of ethnic background on ICU care and outcome in sepsis and septic shock - A retrospective multicenter analysis on 17,949 patients 47
Policy Paper on Healthy Ageing 47
Smartphones in Mental Health: Detecting Depressive and Manic Episodes 46
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data 43
Propensity-Adjusted Comparison of Mortality of Elderly Versus Very Elderly Ventilated Patients 42
Indoor Positioning Using FM Radio 42
RFID-Based System for Tracking People: Approaches to Tagging Demented Patients 42
Using smart phone mobility traces for the diagnosis of depressive and manic episodes in bipolar patients 39
Participants’ Experience and Adherence in Repeated Measurement Studies Among Office-Based Workers 37
Investigation of indoor localization with ambient FM radio stations 36
Monitoring activity of patients with bipolar disorder using smart phones 35
Monitoring dressing activity failures through RFID and video 34
Indoor Localization Using Audio Features of FM Radio Signals 34
Using Intermediate Models and Knowledge Learning to Improve Stress Prediction 33
Human activity recognition supporting context-appropriate reminders for elderly 33
Human activity recognition in pervasive health-care: Supporting efficient remote collaboration 33
Multi-Modal Mobile Sensing of Social Interactions 32
FM radio for indoor localization with spontaneous recalibration 30
Smart Phone Sensing to Examine Effects of Social Interactions and Non-sedentary Work Time on Mood Changes 30
Tuning to your position: FM radio based indoor localization with spontaneous recalibration 30
Tell me your apps and I will tell you your mood 28
Virtual uniforms: using sound frequencies for grouping individuals 25
Machine Learning Predicts Risk of Falls in Parkison's Disease Patients in a Multicenter Observational Study 6
Totale 5.999
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Categoria #
all - tutte 40.752
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 40.752
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/2020139 0 0 0 0 0 0 0 0 0 0 122 17
2020/2021487 63 10 45 39 45 27 63 9 25 84 21 56
2021/2022789 33 71 34 197 32 14 22 77 64 43 101 101
2022/20231.120 39 118 35 227 43 143 13 75 240 107 42 38
2023/2024809 36 27 57 30 36 89 22 94 22 204 17 175
2024/20252.216 32 37 169 96 79 129 142 157 1.036 281 58 0
Totale 5.999