Publications: Dr Venet Osmani
Malaguti MC, Longo C, Moroni M, Ragni F, Bovo S, Chierici M, Gios L, Avanzino L et al.
(
2025
)
.
Machine Learning Predicts Risk of Falls in Parkison's Disease Patients in a Multicenter Observational Study
.
European Journal of Neurology
vol.
32
,
(
5
)
Suvon MNI, Tripathi PC, Fan W, Zhou S, Liu X, Alabed S, Osmani V, Swift AJ et al.
(
2024
)
.
Multimodal Variational Autoencoder for Low-Cost Cardiac Hemodynamics Instability Detection
.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024
,
vol.
15001
,
Springer Nature
Malaguti MC, Gios L, Giometto B, Longo C, Riello M, Ottaviani D, Pellegrini M, Di Giacopo R et al.
(
2024
)
.
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
.
PLOS ONE
vol.
19
,
(
3
)
Sheikhalishahi S, Bhattacharyya A, Celi LA, Osmani V
(
2023
)
.
An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care
.
Artificial Intelligence in Medicine
vol.
144
,
Mamandipoor B, Wernly S, Semmler G, Flamm M, Jung C, Aigner E, Datz C, Wernly B et al.
(
2023
)
.
Machine learning models predict liver steatosis but not liver fibrosis in a prospective cohort study
.
Clinics and Research in Hepatology and Gastroenterology
vol.
47
,
(
7
)
Velichkovska B, Denkovski D, Gjoreski H, Kalendar M, Osmani V
(
2023
)
.
A Survey of Bias in Healthcare: Pitfalls of Using Biased Datasets and Applications
.
Lecture Notes in Networks and Systems
.
vol.
724
,
570
-
584
.
Koköfer A, Mamandipoor B, Flamm M, Rezar R, Wernly S, Datz C, Jung C, Osmani V et al.
(
2023
)
.
The impact of ethnic background on ICU care and outcome in sepsis and septic shock – A retrospective multicenter analysis on 17,949 patients
.
BMC Infectious Diseases
vol.
23
,
(
1
)
Rezar R, Mamandipoor B, Seelmaier C, Jung C, Lichtenauer M, Hoppe UC, Kaufmann R, Osmani V et al.
(
2022
)
.
Hyperlactatemia and altered lactate kinetics are associated with excess mortality in sepsis
.
Wiener klinische Wochenschrift
vol.
135
,
(
3-4
)
80
-
88
.
Carrington AM, Manuel DG, Fieguth PW, Ramsay T, Osmani V, Wernly B, Bennett C, Hawken S et al.
(
2022
)
.
Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation
.
IEEE Transactions on Pattern Analysis and Machine Intelligence
vol.
45
,
(
1
)
329
-
341
.
Chierici M, Puica N, Pozzi M, Capistrano A, Donzella MD, Colangelo A, Osmani V, Jurman G
(
2022
)
.
Automatically detecting Crohn’s disease and Ulcerative Colitis from endoscopic imaging
.
BMC Medical Informatics and Decision Making
vol.
22
,
(
Suppl 6
)
Mamandipoor B, Bruno RR, Wernly B, Wolff G, Fjølner J, Artigas A, Pinto BB, Schefold JC et al.
(
2022
)
.
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
.
PLOS Digital Health
vol.
1
,
(
11
)
Muñoz S, Iglesias CÁ, Mayora O, Osmani V
(
2022
)
.
Prediction of stress levels in the workplace using surrounding stress
.
Information Processing & Management
vol.
59
,
(
6
)
Wernly B, Wernly S, Semmler G, Flamm M, Aigner E, Osmani V, Datz C
(
2022
)
.
Machine Learning Models predict liver steatosis
.
Zeitschrift für Gastroenterologie
.
Conference:
55. Jahrestagung & 32. Fortbildungskurs der Österreichischen Gesellschaft für Gastroenterologie & Hepatologie–ÖGGH (Hybrid Veranstaltung)
vol.
60
,
e689
-
e689
.
Bhattacharyya A, Sheikhalishahi S, Torbic H, Yeung W, Wang T, Birst J, Duggal A, Celi LA et al.
(
2022
)
.
Delirium prediction in the ICU: designing a screening tool for preventive interventions
.
JAMIA Open
vol.
5
,
(
2
)
Jung C, Mamandipoor B, Fjølner J, Bruno RR, Wernly B, Artigas A, Pinto BB, Schefold JC et al.
(
2022
)
.
Disease-Course Adapting Machine Learning Prognostication Models in Elderly Patients Critically Ill With COVID-19: Multicenter Cohort Study With External Validation
.
JMIR Medical Informatics
vol.
10
,
(
3
)
Rezar R, Jung C, Mamandipoor B, Seelmaier C, Felder TK, Lichtenauer M, Wernly S, Zwaag SM et al.
(
2022
)
.
Management of intoxicated patients – a descriptive outcome analysis of 4,267 ICU patients
.
BMC Emergency Medicine
vol.
22
,
(
1
)
Dankl D, Rezar R, Mamandipoor B, Zhou Z, Wernly S, Wernly B, Osmani V
(
2022
)
.
Red Cell Distribution Width Is Independently Associated with Mortality in Sepsis
.
Medical Principles and Practice
vol.
31
,
(
2
)
187
-
194
.
Semmler G, Wernly S, Wernly B, Mamandipoor B, Bachmayer S, Semmler L, Aigner E, Datz C et al.
(
2021
)
.
Machine Learning Models Cannot Replace Screening Colonoscopy for the Prediction of Advanced Colorectal Adenoma
.
Journal of Personalized Medicine
vol.
11
,
(
10
)
Lukan J, Bolliger L, Clays E, Mayora O, Osmani V, Luštrek M
(
2021
)
.
Participants’ Experience and Adherence in Repeated Measurement Studies Among Office-Based Workers
.
Conference:
Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers528
-
531
.
Danninger T, Rezar R, Mamandipoor B, Dankl D, Koköfer A, Jung C, Wernly B, Osmani V
(
2021
)
.
Underweight but not overweight is associated with excess mortality in septic ICU patients
.
Wiener klinische Wochenschrift
vol.
134
,
(
3-4
)
139
-
147
.
Semmler G, Wernly S, Wernly B, Mamandipoor B, Bachmayer S, Semmler L, Aigner E, Datz C et al.
(
2021
)
.
Gastroenterologist against the machine - opportunities and limitations of machine learning models for prediction of advanced adenoma
.
Zeitschrift für Gastroenterologie
.
Conference:
54. Jahrestagung & 31. Fortbildungskurs der Österreichischen Gesellschaft für Gastroenterologie & Hepatologie – ÖGGH (Hybrid Veranstaltung)
vol.
59
,
e342
-
e343
.
Bruno RR, Wernly B, Mamandipoor B, Rezar R, Binnebössel S, Baldia PH, Wolff G, Kelm M et al.
(
2021
)
.
ICU-Mortality in Old and Very Old Patients Suffering From Sepsis and Septic Shock
.
Frontiers in Medicine
vol.
8
,
Mamandipoor B, Yeung W, Agha-Mir-Salim L, Stone DJ, Osmani V, Celi LA
(
2021
)
.
Prediction of blood lactate values in critically ill patients: a retrospective multi-center cohort study
.
Journal of Clinical Monitoring and Computing
vol.
36
,
(
4
)
1087
-
1097
.
Gios L, Falceri GC, Micocci S, Patil L, Testa S, Sforzin S, Turra E, Conforti D et al.
(
2021
)
.
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
.
JMIR Formative Research
vol.
5
,
(
5
)
Mamandipoor B, Frutos-Vivar F, Peñuelas O, Rezar R, Raymondos K, Muriel A, Du B, Thille AW et al.
(
2021
)
.
Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation
.
BMC Medical Informatics and Decision Making
vol.
21
,
(
1
)
Nardini C, Osmani V, Cormio PG, Frosini A, Turrini M, Lionis C, Neumuth T, Ballensiefen W et al.
(
2021
)
.
The evolution of personalized healthcare and the pivotal role of European regions in its implementation
.
Personalized Medicine
vol.
18
,
(
3
)
283
-
294
.
Wernly B, Bruno RR, Frutos-Vivar F, Peñuelas O, Rezar R, Raymondos K, Muriel A, Du B et al.
(
2021
)
.
Propensity-Adjusted Comparison of Mortality of Elderly Versus Very Elderly Ventilated Patients
.
Respiratory Care
vol.
66
,
(
5
)
814
-
821
.
Talitckii A, Anikina A, Kovalenko E, Mayora O, Osmani V, Zimniakova O, Semenov M, Bril E et al.
(
2020
)
.
Data-Driven Analysis of Parkinson's Disease and its Detection at an Early Stage
.
Conference:
Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare419
-
422
.
Bruno RR, Wernly B, Binneboessel S, Baldia P, Duse DA, Erkens R, Kelm M, Mamandipoor B et al.
(
2020
)
.
Failure of Lactate Clearance Predicts the Outcome of Critically Ill Septic Patients
.
Diagnostics
vol.
10
,
(
12
)
Wernly B, Mamandipoor B, Baldia P, Jung C, Osmani V
(
2020
)
.
Machine learning predicts mortality in septic patients using only routinely available ABG variables: a multi-centre evaluation
.
International Journal of Medical Informatics
vol.
145
,
Wernly B, Bruno RR, Mamandipoor B, Jung C, Osmani V
(
2020
)
.
Sex-specific outcomes and management in critically ill septic patients
.
European Journal of Internal Medicine
vol.
83
,
74
-
77
.
Sheikhalishahi S, Balaraman V, Osmani V
(
2020
)
.
Benchmarking machine learning models on multi-centre eICU critical care dataset
.
PLOS ONE
vol.
15
,
(
7
)
Mamandipoor B, Majd M, Moz M, Osmani V
(
2020
)
.
Blood Lactate Concentration Prediction in Critical Care
.
Studies in Health Technology and Informatics
vol.
270
,
73
-
77
.
Maxhuni A, Hernandez-Leal P, Morales EF, Sucar LE, Osmani V, Mayora O
(
2020
)
.
Unobtrusive Stress Assessment Using Smartphones
.
IEEE Transactions on Mobile Computing
vol.
20
,
(
6
)
2313
-
2325
.
Mamandipoor B, Majd M, Sheikhalishahi S, Modena C, Osmani V
(
2020
)
.
Monitoring and detecting faults in wastewater treatment plants using deep learning
.
Environmental Monitoring and Assessment
vol.
192
,
(
2
)
Bhattacharyya A, Sheikhalishahi S, Dugar S, Krishnan S, Duggal A, Osmani V
(
2020
)
.
400: PREDICTING DELIRIUM RISK FOR THE FOLLOWING 24 HOURS IN CRITICALLY ILL PATIENTS USING DEEP LEARNING
.
Critical Care Medicine
vol.
48
,
(
1
)
182
-
182
.
Sheikhalishahi S, Miotto R, Dudley JT, Lavelli A, Rinaldi F, Osmani V
(
2019
)
.
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review
.
JMIR Medical Informatics
vol.
7
,
(
2
)
Ruiz E, Osmani V, Sucar LE, Mayora O
(
2018
)
.
Detecting dressing failures using temporal–relational visual grammars
.
Journal of Ambient Intelligence and Humanized Computing
vol.
10
,
(
7
)
2757
-
2770
.
Osmani V, Li L, Danieletto M, Glicksberg B, Dudley J, Mayora O
(
2018
)
.
Automatic processing of Electronic Medical Records using Deep Learning
.
Conference:
Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare251
-
257
.
Matic A, Mehta P, Rehg JM, Osmani V, Mayora O
(
2018
)
.
Monitoring Dressing Activity Failures through RFID and Video
.
Methods of Information in Medicine
vol.
51
,
(
01
)
45
-
54
.
Osmani V, Forti S, Mayora O, Conforti D
(
2017
)
.
Challenges and opportunities in evolving TreC personal health record platform
.
Conference:
Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare288
-
291
.
Osmani V, Forti S, Mayora O, Conforti D
(
2017
)
.
Enabling prescription-based health apps
.
Conference:
Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare272
-
275
.
Sucar E, Mayora O, Tapus A, Ahuactzin JM, Farinelli A, de Cote EM, Osmani V, Moran A et al.
(
2017
)
.
Preface
.
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
vol.
179 LNICST
,
Maxhuni A, Hernandez-Leal P, Morales EF, Sucar LE, Osmani V, Muńoz-Meléndez A, Mayora O
(
2017
)
.
Using Intermediate Models and Knowledge Learning to Improve Stress Prediction
.
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
.
vol.
179
,
140
-
151
.
Maxhuni A, Muñoz-Meléndez A, Osmani V, Perez H, Mayora O, Morales EF
(
2016
)
.
Classification of bipolar disorder episodes based on analysis of voice and motor activity of patients
.
Pervasive and Mobile Computing
vol.
31
,
50
-
66
.
Maxhuni A, Hernandez-Leal P, Sucar LE, Osmani V, Morales EF, Mayora O
(
2016
)
.
Stress modelling and prediction in presence of scarce data
.
Journal of Biomedical Informatics
vol.
63
,
344
-
356
.
Hernandez-Leal P, Maxhuni A, Sucar LE, Osmani V, Morales EF, Mayora O
(
2015
)
.
Stress Modelling Using Transfer Learning in Presence of Scarce Data
.
Lecture Notes in Computer Science
.
vol.
9456
,
224
-
236
.
Ferdous R, Osmani V, Marquez JB, Mayora O
(
2015
)
.
Investigating correlation between verbal interactions and perceived stress
.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
.
Conference:
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
vol.
2015
,
1612
-
1615
.
Mayora O, Frost M, Arnrich B, Gravenhorst F, Grunerbl A, Muaremi A, Osmani V, Puiatti A et al.
(
2015
)
.
Mobile health systems for bipolar disorder: The relevance of non-functional requirements in MONARCA Project
.
E-Health and Telemedicine: Concepts, Methodologies, Tools, and Applications
,
vol.
3
,
Osmani V
(
2015
)
.
Smartphones in Mental Health: Detecting Depressive and Manic Episodes
.
IEEE Pervasive Computing
vol.
14
,
(
3
)
10
-
13
.
Garcia-Ceja E, Osmani V, Mayora O
(
2015
)
.
Automatic Stress Detection in Working Environments From Smartphones Accelerometer Data: A First Step
.
IEEE Journal of Biomedical and Health Informatics
vol.
20
,
(
4
)
1053
-
1060
.
Kiourti A, Osmani V
(
2015
)
.
Welcome message from the Editors
.
EAI Endorsed Transactions on Pervasive Health and Technology
vol.
1
,
(
1
)
Ferdous R, Osmani V, Mayora O
(
2015
)
.
Smartphone App Usage as a Predictor of Perceived Stress Levels at Workplace
.
Conference:
Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare225
-
228
.
Mayora O, Osmani V
(
2015
)
.
From Ubiquitous Computing to Human Aware Networking: Exploiting the Know-how of Ubicomp Research for Improving Networked-User Experience
.
Conference:
Proceedings of the 3rd International Conference on Context-Aware Systems and Applications
Garcia-Ceja E, Osmani V, Maxhuni A, Mayora O
(
2014
)
.
Detecting Walking in Synchrony Through Smartphone Accelerometer and Wi-Fi Traces
.
Lecture Notes in Computer Science
vol.
8850
,
33
-
46
.
Sabatelli M, Osmani V, Mayora O, Gruenerbl A, Lukowicz P
(
2014
)
.
Correlation of Significant Places with Self-Reported State of Bipolar Disorder Patients
.
2014 4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH)
.
116
-
119
.
Gravenhorst F, Osmani V, Arnrich B, Muaremi A
(
2014
)
.
Exploring the link between behaviour and health
.
Personal and Ubiquitous Computing
vol.
19
,
(
2
)
255
-
257
.
Gravenhorst F, Muaremi A, Bardram J, Grünerbl A, Mayora O, Wurzer G, Frost M, Osmani V et al.
(
2014
)
.
Mobile phones as medical devices in mental disorder treatment: an overview
.
Personal and Ubiquitous Computing
vol.
19
,
(
2
)
335
-
353
.
Matic A, Osmani V, Mayora-Ibarra O
(
2014
)
.
Mobile monitoring of formal and informal social interactions at workplace
.
Conference:
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication1035
-
1044
.
Grnerbl A, Muaremi A, Osmani V, Bahle G, hler S, Trster G, Mayora O, Haring C et al.
(
2014
)
.
Smartphone-Based Recognition of States and State Changes in Bipolar Disorder Patients
.
IEEE Journal of Biomedical and Health Informatics
vol.
19
,
(
1
)
140
-
148
.
Osmani V
(
2014
)
.
Session details: Data modeling and information management for pervasive assistive environments
.
Conference:
Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments
Alvarez-Lozano J, Osmani V, Mayora O, Frost M, Bardram J, Faurholt-Jepsen M, Kessing LV
(
2014
)
.
Tell me your apps and I will tell you your mood
.
Conference:
Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments1
-
7
.
Gruenerbl A, Osmani V, Bahle G, Carrasco JC, Oehler S, Mayora O, Haring C, Lukowicz P
(
2014
)
.
Using smart phone mobility traces for the diagnosis of depressive and manic episodes in bipolar patients
.
Conference:
Proceedings of the 5th Augmented Human International Conference1
-
8
.
Sabatelli M, Osmani V, Gruenerbl A, Lukowicz P, Mayora O
(
2014
)
.
Correlation of significant places with self-reported state of bipolar disorder patients
.
Conference:
Proceedings of the 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"
Mayora O, Frost M, Arnrich B, Gravenhorst F, Grunerbl A, Muaremi A, Osmani V, Puiatti A et al.
(
2014
)
.
Mobile Health Systems for Bipolar Disorder: The Relevance of Non-Functional Requirements in MONARCA Project
.
International Journal of Handheld Computing Research
vol.
5
,
(
1
)
1
-
12
.
Matic A, Maxhuni A, Osmani V, Mayora O
(
2013
)
.
Virtual uniforms
.
Conference:
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication159
-
162
.
Czerwinski M, Mayora O, Lukowicz P, Campbell A, Osmani V
(
2013
)
.
Preface
.
Proceedings of the 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2013
Matic A, Osmani V, Mayora O
(
2013
)
.
Trade-offs in monitoring social interactions
.
IEEE Communications Magazine
vol.
51
,
(
7
)
114
-
121
.
Osmani V, Carreras I, Matic A, Saar P
(
2013
)
.
An analysis of distance estimation to detect proximity in social interactions
.
Journal of Ambient Intelligence and Humanized Computing
vol.
5
,
(
3
)
297
-
306
.
Matic A, Osmani V, Mayora O
(
2013
)
.
Automatic Sensing of Speech Activity and Correlation with Mood Changes
.
Pervasive and Mobile Sensing and Computing for Healthcare
,
vol.
2
,
Springer Nature
Osmani V, Maxhuni A, Grünerbl A, Lukowicz P, Haring C, Mayora O
(
2013
)
.
Monitoring activity of patients with bipolar disorder using smart phones
.
Conference:
Proceedings of International Conference on Advances in Mobile Computing & Multimedia - MoMM '1385
-
92
.
Matic A, Osmani V, Mayora O
(
2012
)
.
Speech activity detection using accelerometer
.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
vol.
2012
,
2112
-
2115
.
Matic A, Osmani V, Mayora-Ibarra O
(
2012
)
.
Analysis of Social Interactions Through Mobile Phones
.
Mobile Networks and Applications
vol.
17
,
(
6
)
808
-
819
.
Matic A, Osmani V, Maxhuni A, Mayora O
.
Multi-modal mobile sensing of social interactions
.
Conference:
Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare105
-
114
.
Matic A, Osmani V, Popleteev A, Mayora-Ibarra O
(
2012
)
.
A pilot study of short-term effects of non-sedentary behaviour on mood changes
.
HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics
.
299
-
304
.
Matic A, Cipresso P, Osmani V, Serino S, Popleteev A, Gaggioli A, Mayora O, Riva G
(
2012
)
.
Sedentary work style and heart rate variability: A short term analysis
.
Proceedings of the 2nd International Workshop on Computing Paradigms for Mental Health, MindCare 2012, in Conjunction with BIOSTEC 2012
.
96
-
101
.
Carreras I, Matic A, Saar P, Osmani V
(
2012
)
.
Comm2Sense: Detecting Proximity Through Smartphones
.
Conference:
2012 IEEE International Conference on Pervasive Computing and Communications Workshops253
-
258
.
Popleteev A, Osmani V, Mayora O
(
2012
)
.
Investigation of indoor localization with ambient FM radio stations
.
Conference:
2012 IEEE International Conference on Pervasive Computing and Communications
vol.
1
,
171
-
179
.
Osmani V, Popleteev A, Maimone R, Gabrielli S, Mayora O
(
2012
)
.
Mobile Stress Treatment: The Interstress Approach
.
Conference:
Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare
Arnrich B, Osmani V, Bardram J
(
2011
)
.
Mental health and the impact of ubiquitous technologies
.
Personal and Ubiquitous Computing
vol.
17
,
(
2
)
211
-
213
.
Maxhuni A, Matic A, Osmani V, Ibarra OM
(
2011
)
.
Correlation between self-reported mood states and objectively measured social interactions at work: A pilot study
.
2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops
.
Conference:
Proceedings of the 5th International ICST Conference on Pervasive Computing Technologies for Healthcare308
-
311
.
Popleteev A, Osmani V, Mayora O, Matic A
(
2011
)
.
Indoor Localization Using Audio Features of FM Radio Signals
.
Lecture Notes in Computer Science
.
vol.
6967
,
246
-
249
.
Matic A, Osmani V, Mayora O
(
2011
)
.
RFID-Based System for Tracking People: Approaches to Tagging Demented Patients
.
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
.
vol.
70
,
60
-
65
.
Matic A, Osmani V, Popleteev A, Mayora-Ibarra O
(
2011
)
.
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