V. Osmani

发表

Using Intermediate Models and Knowledge Learning to Improve Stress Prediction

Pablo Hernandez-Leal, Alban Maxhuni, Venet Osmani, 2017 .

Tuning to your position: FM radio based indoor localization with spontaneous recalibration

Oscar Mayora-Ibarra, Venet Osmani, Aleksandar Matic, 2010, 2010 IEEE International Conference on Pervasive Computing and Communications (PerCom).

Indoor positioning using FM radio signals

Venet Osmani, Oscar Mayora, V. Osmani, 2011 .

Monitoring activity of patients with bipolar disorder using smart phones

Oscar Mayora-Ibarra, Paul Lukowicz, Alban Maxhuni, 2013, MoMM '13.

Stress Modelling Using Transfer Learning in Presence of Scarce Data

Oscar Mayora-Ibarra, Pablo Hernandez-Leal, Alban Maxhuni, 2015, AmIHEALTH.

Stress modelling and prediction in presence of scarce data

Oscar Mayora-Ibarra, Pablo Hernandez-Leal, Alban Maxhuni, 2016, J. Biomed. Informatics.

Smartphone app usage as a predictor of perceived stress levels at workplace

Oscar Mayora-Ibarra, Venet Osmani, Raihana Ferdous, 2015, 2015 9th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth).

Investigating correlation between verbal interactions and perceived stress

Oscar Mayora-Ibarra, Venet Osmani, Jessica Beltrán-Márquez, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Smartphone-Based Recognition of States and State Changes in Bipolar Disorder Patients

Oscar Mayora-Ibarra, Agnes Grünerbl, Gernot Bahle, 2015, IEEE Journal of Biomedical and Health Informatics.

Analysis of Social Interactions Through Mobile Phones

Oscar Mayora-Ibarra, Venet Osmani, Aleksandar Matic, 2012, Mob. Networks Appl..

Realising Anticipatory Networks through Human Aware Networking ( HAN )

V. Osmani, O. Mayora, 2014 .

Correlation of significant places with self-reported state of bipolar disorder patients

V. Osmani, O. Mayora, P. Lukowicz, 2014 .

Indoor Positioning Using FM Radio Indoor Positioning Using FM Radio

V. Osmani, O. Mayora, Andrei Papliatseyeu, 2009 .

Monitoring Dressing Activity Failures through RFID and Video

James M. Rehg, O Mayora, V. Osmani, 2011, Methods of Information in Medicine.

Happy or Moody ? Why so ? Monitoring Daily Routines at Work and Inferring Their Influence on Mood

V. Osmani, A. Matic, Andrei Papliatseyeu, 2010 .

Enabling prescription-based health apps

Oscar Mayora-Ibarra, Venet Osmani, Stefano Forti, 2017, PervasiveHealth.

Sensor monitoring in the home

Paul Lukowicz, Mary Czerwinski, Ben Kröse, 2013 .

Management of intoxicated patients – a descriptive outcome analysis of 4,267 ICU patients

V. Osmani, D. D. de Lange, C. Jung, 2022, BMC Emergency Medicine.

Delirium prediction in the ICU: designing a screening tool for preventive interventions

V. Osmani, L. Celi, Heather Torbic, 2022, JAMIA open.

Participants’ Experience and Adherence in Repeated Measurement Studies Among Office-Based Workers

V. Osmani, O. Mayora, M. Luštrek, 2021, UbiComp/ISWC Adjunct.

Prediction of stress levels in the workplace using surrounding stress

V. Osmani, O. Mayora, O. Mayora-Ibarra, 2022, Inf. Process. Manag..

Red Cell Distribution Width Is Independently Associated with Mortality in Sepsis

V. Osmani, B. Wernly, R. Rezar, 2022, Medical Principles and Practice.

Management of intoxicated patients – a descriptive outcome analysis of 4,267 ICU patients

V. Osmani, D. D. de Lange, C. Jung, 2022, BMC Emergency Medicine.

Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data

V. Osmani, Giuseppe Jurman, Raffaele Marchesi, 2022, ArXiv.

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

V. Osmani, D. D. de Lange, J. Schefold, 2022, PLOS digital health.

Automatically detecting Crohn’s disease and Ulcerative Colitis from endoscopic imaging

V. Osmani, Giuseppe Jurman, M. Chierici, 2022, BMC Medical Informatics and Decision Making.

Hyperlactatemia and altered lactate kinetics are associated with excess mortality in sepsis

V. Osmani, C. Jung, M. Lichtenauer, 2022, Wiener klinische Wochenschrift.

Classification of bipolar disorder episodes based on analysis of voice and motor activity of patients

Oscar Mayora-Ibarra, Alban Maxhuni, Venet Osmani, 2016, Pervasive Mob. Comput..

Automatic Stress Detection in Working Environments From Smartphones’ Accelerometer Data: A First Step

Oscar Mayora-Ibarra, Venet Osmani, Enrique Garcia-Ceja, 2015, IEEE Journal of Biomedical and Health Informatics.

Monitoring and detecting faults in wastewater treatment plants using deep learning

Venet Osmani, Seyedmostafa Sheikhalishahi, Behrooz Mamandipoor, 2020, Environmental Monitoring and Assessment.

ICU-Mortality in Old and Very Old Patients Suffering From Sepsis and Septic Shock

V. Osmani, D. D. de Lange, B. Guidet, 2021, Frontiers in Medicine.

Unobtrusive Stress Assessment Using Smartphones

Alban Maxhuni, Venet Osmani, Eduardo F. Morales, 2020, IEEE Transactions on Mobile Computing.

Automatic processing of Electronic Medical Records using Deep Learning

Oscar Mayora-Ibarra, Benjamin S. Glicksberg, Joel Dudley, 2018, PervasiveHealth.

Processing of Electronic Health Records using Deep Learning: A review pdf

Oscar Mayora-Ibarra, Benjamin S. Glicksberg, Joel Dudley, 2018, ArXiv.

Vital signs as a source of racial bias

V. Osmani, L. Celi, H. Gjoreski, 2022, medRxiv.

Detecting dressing failures using temporal–relational visual grammars

Oscar Mayora-Ibarra, Luis Enrique Sucar, Venet Osmani, 2018, J. Ambient Intell. Humaniz. Comput..

UbiHealth 2010: the 5th international workshop on ubiquitous health and wellness

Giuseppe Riva, Venet Osmani, Jakob E. Bardram, 2010, UbiComp '10 Adjunct.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review

Fabio Rinaldi, Riccardo Miotto, Venet Osmani, 2019, JMIR medical informatics.

Information extraction from clinical notes: A systematic review for Chronic Diseases (Preprint)

V. Osmani, J. Dudley, Fabio Rinaldi, 2018 .

Sex-specific outcomes and management in critically ill septic patients.

V. Osmani, C. Jung, R. Bruno, 2020, European journal of internal medicine.

Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation

Paul W. Fieguth, Venet Osmani, Steven Hawken, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Smart Phone Sensing to Examine Effects of Social Interactions and Non-sedentary Work Time on Mood Changes

Oscar Mayora-Ibarra, Venet Osmani, Aleksandar Matic, 2011, CONTEXT.

Prediction of blood lactate values in critically ill patients: a retrospective multi-center cohort study

Venet Osmani, Leo Anthony Celi, David J. Stone, 2021, Journal of Clinical Monitoring and Computing.

Human activity recognition in pervasive health-care: Supporting efficient remote collaboration

Venet Osmani, Dmitri Botvich, Sasitharan Balasubramaniam, 2008, J. Netw. Comput. Appl..

Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation

Venet Osmani, Christian Jung, Malte Kelm, 2021, BMC Medical Informatics and Decision Making.

Machine Learning Models Cannot Replace Screening Colonoscopy for the Prediction of Advanced Colorectal Adenoma

C. Datz, V. Osmani, B. Wernly, 2021, Journal of personalized medicine.

Mobile phones as medical devices in mental disorder treatment: an overview

Oscar Mayora-Ibarra, Paul Lukowicz, Franz Gravenhorst, 2014, Personal and Ubiquitous Computing.

A Pilot Study of Short-term Effects of Non-sedentary Behaviour on Mood Changes

Oscar Mayora-Ibarra, Venet Osmani, Aleksandar Matic, 2016, HEALTHINF.

Benchmarking machine learning models on multi-centre eICU critical care dataset

V. Osmani, Vevake Balaraman, Seyedmostafa Sheikhalishahi, 2019, PloS one.

Failure of Lactate Clearance Predicts the Outcome of Critically Ill Septic Patients

V. Osmani, C. Jung, M. Kelm, 2020, Diagnostics.

Machine learning predicts mortality in septic patients using only routinely available ABG variables: a multi-centre evaluation

Venet Osmani, Behrooz Mamandipoor, Bernhard Wernly, 2020, Int. J. Medical Informatics.

Smartphone apps usage patterns as a predictor of perceived stress levels at workplace pdf

Oscar Mayora-Ibarra, Venet Osmani, Raihana Ferdous, 2018, ArXiv.

The impact of ethnic background on ICU care and outcome in sepsis and septic shock – A retrospective multicenter analysis on 17,949 patients

C. Datz, V. Osmani, C. Jung, 2023, BMC Infectious Diseases.

Exploring the link between behaviour and health

Franz Gravenhorst, Amir Muaremi, Venet Osmani, 2015, Personal and Ubiquitous Computing.

Mobile Health Systems for Bipolar Disorder: The Relevance of Non-Functional Requirements in MONARCA Project

Alessandro Puiatti, Oscar Mayora-Ibarra, Franz Gravenhorst, 2014, Int. J. Handheld Comput. Res..

Benchmarking machine learning models on eICU critical care dataset pdf

Venet Osmani, Vevake Balaraman, Seyedmostafa Sheikhalishahi, 2019, ArXiv.

Mobile monitoring of formal and informal social interactions at workplace

Oscar Mayora-Ibarra, Venet Osmani, Aleksandar Matic, 2014, UbiComp Adjunct.

SENSING SOCIAL INTERACTIONS USING NON -VISUAL AND NON -AUDITORY MOBILE SOURCES , MAXIMIZING PRIVACY AND MINIMIZING OBTRUSIVENESS

Imrich Chlamtac, Venet Osmani, Oscar Mayora, 2012 .

Mental health and the impact of ubiquitous technologies

V. Osmani, B. Arnrich, J. Bardram, 2013, Personal and Ubiquitous Computing.

RFID-Based System for Tracking People: Approaches to Tagging Demented Patients

Oscar Mayora-Ibarra, Venet Osmani, Aleksandar Matic, 2011, AMBI-SYS.

AID-ME: Automatic identification of dressing failures through monitoring of patients and activity Evaluation

Oscar Mayora-Ibarra, James M. Rehg, Venet Osmani, 2010, 2010 4th International Conference on Pervasive Computing Technologies for Healthcare.

Technologies to monitor cognitive decline a preliminary case study

Venet Osmani, Aleksandar Matic, V. Osmani, 2009, 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare.

Disease-Course Adapting Machine Learning Prognostication Models in Elderly Patients Critically Ill With COVID-19: Multicenter Cohort Study With External Validation

V. Osmani, D. D. de Lange, R. Moreno, 2021, JMIR medical informatics.

Smartphones in Mental Health: Detecting Depressive and Manic Episodes

Venet Osmani, V. Osmani, 2015, IEEE Pervasive Computing.

Benchmarking machine learning models on multi-centre eICU critical care dataset

V. Osmani, Vevake Balaraman, Seyedmostafa Sheikhalishahi, 2019, PloS one.

The evolution of personalized healthcare and the pivotal role of European regions in its implementation.

V. Osmani, T. Neumuth, C. Nardini, 2021, Personalized medicine.

Correlation of significant places with self-reported state of bipolar disorder patients

Oscar Mayora-Ibarra, Agnes Grünerbl, Paul Lukowicz, 2014, 2014 4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH).

Blood Lactate Concentration Prediction in Critical Care

Venet Osmani, Behrooz Mamandipoor, Monica Moz, 2020, MIE.

Using smart phone mobility traces for the diagnosis of depressive and manic episodes in bipolar patients

Oscar Mayora-Ibarra, Gernot Bahle, Paul Lukowicz, 2014, AH.

An analysis of distance estimation to detect proximity in social interactions

Iacopo Carreras, Venet Osmani, Aleksandar Matic, 2014, J. Ambient Intell. Humaniz. Comput..

Investigation of indoor localization with ambient FM radio stations

Oscar Mayora-Ibarra, Venet Osmani, Andrei Popleteev, 2012, 2012 IEEE International Conference on Pervasive Computing and Communications.

Underweight but not overweight is associated with excess mortality in septic ICU patients

V. Osmani, C. Jung, T. Danninger, 2021, Wiener klinische Wochenschrift.

FM radio for indoor localization with spontaneous recalibration

Oscar Mayora-Ibarra, Venet Osmani, Aleksandar Matic, 2010, Pervasive Mob. Comput..

Indoor Localization Using Audio Features of FM Radio Signals

Oscar Mayora-Ibarra, Venet Osmani, Andrei Popleteev, 2011, CONTEXT.

Treatment targeted at underlying disease versus palliative care in terminally ill patients: a systematic review

V. Osmani, J. Dudley, Fabio Rinaldi, 2008, BMJ Open.

Machine Learning Models predict liver steatosis but not liver fibrosis in a prospective cohort study.

C. Datz, V. Osmani, C. Jung, 2023, Clinics And Research in Hepatology and Gastroenterology.

Generative AI Mitigates Representation Bias Using Synthetic Health Data

V. Osmani, Giuseppe Jurman, S. Barbieri, 2023, medRxiv.

Blood lactate concentration prediction in critical care patients: handling missing values pdf

Venet Osmani, Mahshid Majd, Behrooz Mamandipoor, 2019, ArXiv.

Multi-modal mobile sensing of social interactions

Oscar Mayora-Ibarra, Alban Maxhuni, Venet Osmani, 2012, 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.

Comm2Sense: Detecting proximity through smartphones

Iacopo Carreras, Venet Osmani, Aleksandar Matic, 2012, 2012 IEEE International Conference on Pervasive Computing and Communications Workshops.

Mental health and the impact of ubiquitous technologies

Venet Osmani, Jakob E. Bardram, Bert Arnrich, 2013, Personal and Ubiquitous Computing.