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Registrera dig till konferensen | Vitalis
Spår: MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation
Alla programpunkterMapping Korean National Health Insurance Claim Codes for Laboratory Test to SNOMED CT
Sumi Sung
Torsdag 25 maj 2023 11:00 - 11:15 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart 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
Implementation of the Regulation on the European Health Data Space (EHDS) in Croatia
Emanuel Bradaševic
Torsdag 25 maj 2023 09:35 - 09:40 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
Automated ICF Coding of Rehabilitation Notes for Low-Resource Languages via Continual Training of Language Models
Vincenzo Della Mea
Torsdag 25 maj 2023 12:45 - 13:00 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
Automatic Outlier Detection in Laboratory Result Distributions within a Real World Data Network
Aida Muñoz Monjas
Torsdag 25 maj 2023 09:15 - 09:30 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
The necessity of multiple data sources for ECG-based machine learning models
Lucas Plagwitz
Torsdag 25 maj 2023 10:30 - 10:45 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
Can Patient Contributed Data (PCD) leverage connected health technology for cardiac rehabilitation in Austria?
Rada Hussein
Torsdag 25 maj 2023 12:45 - 13:00 G2
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
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.
The Need for a Non-Invasive Technology for Endometriosis Detection and Care
Ariane Hine
Onsdag 24 maj 2023 15:00 - 15:15 G3
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
Classification of Parkinson’s Disease from Voice - Analysis of Data Selection Bias
Alexander Brenner
Torsdag 25 maj 2023 11:30 - 11:35 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
Breaking Barriers for Interoperability: A Reference Implementation of CSV-FHIR Transformation using open-source tools
Samer Alkarkoukly
Torsdag 25 maj 2023 10:45 - 11:00 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
Implementation Status of the Proposal for a Regulation of the European Health Data Space in Portugal. Are We Ready for It?
Maria Daniel Loureiro
Torsdag 25 maj 2023 09:00 - 09:15 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
Implementation Status of the Proposal for a Regulation of the European Health Data Space in Portugal.
Integrating Cross-Departmental Data
Julia Gehrmann
Torsdag 25 maj 2023 09:30 - 09:35 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
Does using a stacking ensemble method to combine multiple base learners within a database improve model transportability?
Cynthia Yang
Torsdag 25 maj 2023 09:30 - 09:35 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
The Use of Visual Tools in Face-to-face Patient-Physician Consultations
Arild Faxvaag, Heidi Gilstad, Martha Skogen
Torsdag 25 maj 2023 10:15 - 11:45 R22
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Workshop, Avancerad
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
Onsdag 24 maj 2023 13:45 - 15:15 R23
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Workshop, Avancerad
Mapping the SPHN Dataset to FHIR
Sophie Klopfenstein
Torsdag 25 maj 2023 11:35 - 11:40 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Inspiration, Avancerad, Politiker, Tekniker/IT/Utvecklare, Forskare (även studerande), Studerande, Vårdpersonal, Patientorganisationer/Brukarorganisationer, Innovativ/forskning, Dokumentation
Sharing our experience of mapping the Swiss Personalized Health Network Dataset to Fast Healthcare Interoperability Resources
Predicting Family Implementation of Complementary and Alternative Medicine in Autism Online Communities
Zhenni Ni
Onsdag 24 maj 2023 09:40 - 09:45 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Inspiration, Avancerad, Chef/Beslutsfattare, Omsorgspersonal, Vårdpersonal, Patientorganisationer/Brukarorganisationer, Nytta/effekt, Personcentrering, Styrning/Förvaltning, Patientsäkerhet
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
Torsdag 25 maj 2023 08:30 - 09:45 G4
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Panel, Avancerad