Programpunkter
Konferensen på Vitalis 2023 består av flera spår med paneldiskussioner, keynote-presentationer och studiosamtal. Större delen av innehållet kommer också göras tillgängligt digitalt via livesändningar och inspelade föreläsningar, tillgängliga on demand.
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Registrera dig till konferensen | Vitalis
Spår
Participatory Study to Explore Healthcare Professionals’ Perceptions of a Connected Digital Solution for Adherence Monitoring of Recombinant Human Growth Hormone Treatment: Study Protocol and First Findings
Octavio Rivera
Torsdag 25 maj 2023 13:00 - 13:15 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Förinspelat + På plats, Presentation, Avancerad
Towards prediction of injuries in traffic accidents
Viktor Sobotta
Torsdag 25 maj 2023 13:00 - 13:15 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
Building A Disease Knowledge Graph
Enayat Rajabi
Torsdag 25 maj 2023 13:00 - 13:15 G3
MIE: Knowledge and Information representation and modeling, English, Enbart på plats, Presentation, Avancerad
Comparative Analysis of Electrodermal activity Decomposition Methods in Emotion Detection using Machine Learning
Praveen Kumar Govarthan, SRIRAM KUMAR P, Tikaram
Torsdag 25 maj 2023 13:15 - 13:30 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Förinspelat + På plats, Presentation, Avancerad
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.
Predicting Progression of Type 2 Diabetes using Primary Care Data with the Help of Machine Learning
Berk Ozturk
Torsdag 25 maj 2023 13:15 - 13:30 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Verktyg för implementering, Avancerad, Chef/Beslutsfattare, Tekniker/IT/Utvecklare, Forskare (även studerande), Studerande, Omsorgspersonal, Vårdpersonal, Personcentrering, Innovativ/forskning, Test/validering, Patientsäkerhet, Etik
Predicting Progression of Type 2 Diabetes using Primary Care Data with the Help of Machine Learning
Observational Cohort Study Dedicated to Autism Spectrum Disorder: Milestone Steps, Results Updates, Perspectives
Mohamed BEN SAID
Torsdag 25 maj 2023 13:15 - 13:30 G3
MIE: Knowledge and Information representation and modeling, English, Enbart på plats, Presentation, Avancerad
The importance of being FAIR and FAST – The clinical epidemiology and study platform of the German network university medicine (NUKLEUS)
Dagmar Krefting
Torsdag 25 maj 2023 13:30 - 13:45 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
Health Synthetic Data to Enable Health Learning System and Innovation: A Scoping Review
Shu-Feng Tsao
Torsdag 25 maj 2023 13:30 - 13:45 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
Model and strategy for predicting and discovering drug-drug interactions
Abdelmalek MOUAZER, Nada Ikram BOUDEGZDAME
Torsdag 25 maj 2023 13:30 - 13:45 G3
MIE: Knowledge and Information representation and modeling, English, Enbart på plats, Presentation, Avancerad
Implementation of HL7 FHIR-Based Interoperability Profiles to Manage Care Plans for Multimorbid Patients with Mild Dementia
Mert Gencturk
Torsdag 25 maj 2023 13:45 - 14:00 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
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
Torsdag 25 maj 2023 13:45 - 13:50 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
Insights into the FAIRness of the German Network University Medicine – a Survey
Lea Michaelis, Michael Muzoora
Torsdag 25 maj 2023 13:45 - 13:50 G3
MIE: Knowledge and Information representation and modeling, English, Enbart på plats, Presentation, Avancerad
Health-related content in Transformer-based language models Exploring bias in domain general vs. domain specific training sets
Giuseppe Samo
Torsdag 25 maj 2023 13:50 - 13:55 G3
MIE: Knowledge and Information representation and modeling, English, Förinspelat + På plats, Presentation, Avancerad
Closing Keynote and Closing Ceremony
Persephone Doupi
Torsdag 25 maj 2023 14:15 - 15:30 G3
English, Enbart på plats
A Framework For Evaluating Synthetic Electronic Health Records
Amira Soliman, Emmanuella Budu, Kobra Etminani
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Monday 22 May: 1pm-3pmTuesday 23 May: 1pm-2pm
An adaptive digital intelligence system to support infodemic management: The WHO EARS platform
Agnese Pastorino
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
An audit of dietitians’ documentation – comparing the level of agreement between the audit instruments Diet-NCP-Audit and NCP-QUEST
Evelina Liljeberg
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
An Enhanced Standardization and Qualification Mechanism for Heterogeneous Healthcare Data
George Manias
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
An Integrated Approach to Automated Diagnosis of Cervical Intraepithelial Neoplasia in Digital Histology Images
Tetiana Biloborodova, Inna Skarga-Bandurova, Brid Brosnan
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Announcement of the German Medical Text Corpus Project (GeMTeX)
Martin Boeker
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad