COVID-19 Image Open Repository meets GECCO Building an open and interoperable image dataset for COVID-19 research
- Resource Type
- Authors
- Cohrs, K; Ashkar, R; Blazevic, M; Falkewitz, P; Ghasempour Moghaddam, M; Laura, G; Khoskam, H; Murad, S; Sermus, M; Laser, H; Gerbel, S
- Source
- 66. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 12. Jahreskongress der Technologie-und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF); 20210926-20210930; sine loco [digital]; DOCAbstr. 151 /20210924/
- Subject
- SNOMED-CT
Nomenclature
Clinical Data Warehouse
COVID-19
Semantic Interoperability
Terminology
LOINC
Open Access
ddc: 610
Open Data
Medicine and health
Image Repository
CoV-19
Taxonomy
GECCO
- Language
- English
Introduction: Currently the COVID-19 pandemic remains clinically unpredictable and shows potential to quickly overload healthcare infrastructure [ref:1], [ref:2]. Innovative artificial intelligence (AI) techniques save medical staff time and can provide diagnoses cheaper and [for full text, please go to the a.m. URL]