A Robust Solution for Real-Time Statistical Analysis of Real-World Data
Transformation of Real-World Data into evidence raises many challenges, requiring standardized and robust methodologies to enhance accuracy and speed in real-time analysis. General-purpose analysis tools may lack flexibility or adaptability and can be inefficient for large, complex datasets. This work aims to develop a dynamic, scenario-based, real-time analysis platform for correlation and multivariable statistical analysis that can be applied to multiple use cases.
Authors
- Georgios Karakatsoulis (ORCID: https://orcid.org/0000-0002-8496-3087)
- Evangelia Minga
- Anastasia Chatzidimitriou (ORCID: https://orcid.org/0000-0002-8106-1846)
- Κώστας Σταματόπουλος (ORCID: https://orcid.org/0000-0001-8529-640X)
- Thomas Chatzikonstantinou (ORCID: https://orcid.org/0000-0003-4105-1253)
- Christina Papangelou
Institutions
- Centre for Research and Technology Hellas (GR)
Publication Details
- Journal
- Studies in health technology and informatics
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3233/shti250420
- Primary Topic
- Air Quality Monitoring and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00