Sessions
The conference at Vitalis 2023 consists of several tracks with panel discussions, keynote presentations and studio talks. Most of the content will also be available online via live broadcasts and recorded lectures, available on demand.
Search the programme and customise your agenda!
You can filter by topic, seminar type, target audience or time. There are also a number of thematic tracks in the programme.
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Track: MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation
All sessionsMapping Korean National Health Insurance Claim Codes for Laboratory Test to SNOMED CT
Sumi Sung
Thursday May 25, 2023 11:00 - 11:15 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
Towards prediction of injuries in traffic accidents
Viktor Sobotta
Thursday May 25, 2023 13:00 - 13:15 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
Implementation of the Regulation on the European Health Data Space (EHDS) in Croatia
Emanuel Bradaševic
Thursday May 25, 2023 09:35 - 09:40 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
Can Patient Contributed Data (PCD) leverage connected health technology for cardiac rehabilitation in Austria?
Rada Hussein
Thursday May 25, 2023 12:45 - 13:00 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
Automated ICF Coding of Rehabilitation Notes for Low-Resource Languages via Continual Training of Language Models
Vincenzo Della Mea
Thursday May 25, 2023 12:45 - 13:00 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
Automatic Outlier Detection in Laboratory Result Distributions within a Real World Data Network
Aida Muñoz Monjas
Thursday May 25, 2023 09:15 - 09:30 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
The necessity of multiple data sources for ECG-based machine learning models
Lucas Plagwitz
Thursday May 25, 2023 10:30 - 10:45 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
The Need for a Non-Invasive Technology for Endometriosis Detection and Care
Ariane Hine
Wednesday May 24, 2023 15:00 - 15:15 G3
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
Leveraging clinical data warehouses to measure impact of update prescription guideline of Human Polyvalent Immunoglobulins of June 2018 in France- A retrospective study
Morgane Pierre-Jean
Thursday May 25, 2023 13:45 - 13:50 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
Comparative Analysis of Electrodermal activity Decomposition Methods in Emotion Detection using Machine Learning
Praveen Kumar Govarthan, SRIRAM KUMAR P, Tikaram
Thursday May 25, 2023 13:15 - 13:30 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Pre-recorded + On-site, Presentation, Advanced
Electrodermal activity (EDA) reflects sympathetic nervous system activitythrough sweating-related changes in skin conductance. Decomposition analysisis used to deconvolve the EDA into slow and fast varying tonic and phasicactivity, respectively. In this study, we used machine learning models to comparethe performance of two EDA decomposition algorithms to detect emotions such asamusing, boring, relaxing, and scary. The EDA data considered in this study wereobtained from the publicly available Continuously Annotated Signals of Emotion(CASE) dataset. Initially, we pre-processed and deconvolved the EDA data intotonic and phasic components using decomposition methods such as cvxEDA andBayesianEDA. Further, twelve-time domain features were extracted from the phasiccomponent of EDA data. Finally, we applied machine learning techniques suchas logistic regression (LR) and support vector machine (SVM), to evaluate the performanceof the decomposition method. Our results imply that the BayesianEDAdecomposition method outperforms the cvxEDA. The mean of first derivative featurediscriminated all the considered emotional pairs with high statistical significance(p<0.05). SVM was able to detect emotions better than the LR classifier.We achieved a 10-fold average classification accuracy, sensitivity, specificity, precision,and f1-score of 88.2%, 76.25%, 92.08%, 76.16%, and 76.15% respectively,using BayesianEDA and SVM classifier. The proposed framework can be utilizedto detect emotional states for the early diagnosis of psychological conditions.
Classification of Parkinson’s Disease from Voice - Analysis of Data Selection Bias
Alexander Brenner
Thursday May 25, 2023 11:30 - 11:35 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
Breaking Barriers for Interoperability: A Reference Implementation of CSV-FHIR Transformation using open-source tools
Samer Alkarkoukly
Thursday May 25, 2023 10:45 - 11:00 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
Implementation Status of the Proposal for a Regulation of the European Health Data Space in Portugal. Are We Ready for It?
Maria Daniel Loureiro
Thursday May 25, 2023 09:00 - 09:15 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
Implementation Status of the Proposal for a Regulation of the European Health Data Space in Portugal.
Integrating Cross-Departmental Data
Julia Gehrmann
Thursday May 25, 2023 09:30 - 09:35 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
Does using a stacking ensemble method to combine multiple base learners within a database improve model transportability?
Cynthia Yang
Thursday May 25, 2023 09:30 - 09:35 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
The Use of Visual Tools in Face-to-face Patient-Physician Consultations
Arild Faxvaag, Heidi Gilstad, Martha Skogen
Thursday May 25, 2023 10:15 - 11:45 R22
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Workshop, Advanced
WORKSHOP: 1st Joint Workshop EFMI WGs THI – FAIR - SSE: Secure and standardized integration of clinical and genomic information following FAIR principles and the use of AI tools
Jaime Delgado
Wednesday May 24, 2023 13:45 - 15:15 R23
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Workshop, Advanced
Predicting Family Implementation of Complementary and Alternative Medicine in Autism Online Communities
Zhenni Ni
Wednesday May 24, 2023 09:40 - 09:45 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Inspiration, Advanced, Management/decision makers, Care professionals, Healthcare professionals, Patient/user organizations, Benefits/effects, Patient centration, Management, Patient safety
Complementary and alternative medicine (CAM) is widely adopted by families with autistic children. This study aims to predict family caregivers' CAM implementation based on the behavioral (degree and betweenness), environmental (positive feedback and social persuasion), and personal features (language style) of family caregivers in online communities.
Examining efforts to optimize data sharing for brain health: From global data democratization to collaborative analysis environments
Maryan Zirkle, Ardi Kolah, Kimon Kotronis, Lee Lancashire
Thursday May 25, 2023 08:30 - 09:45 G4
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Panel, Advanced
A Novel Platform for Widespread Hearing Impairment Screening and PrEvention of Risk (WHISPER)
Alessia Paglialonga, Marta Lenatti
Tuesday May 23, 2023 10:00 - 10:30 Open Seminar Area
Open Seminar Area, MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Other, Tools for implementation, Introductory, Management/decision makers, Politicians, Technicians/IT/Developers, Researchers, Students, Care professionals, Healthcare professionals, Patient/user organizations, Benefits/effects, Patient centration, Innovation/research, Test/validation, Apps
The MIE conference has always been a hub for innovation and cutting-edge technology. This year was no exception several demonstrators showcase their unique solutions to healthcare problems. Use the opportunity to take a closer look at some of the most striking demonstrators present at the conference, highlighting their diversity and the potential impact they could have on various healthcare-related challenges