Ontology-based Approaches to Medical Data Integration (CROSBI ID 717019)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Obradovic, Ines ; Milicevic, Mario ; Vrdoljak, Boris ; Zubrinic, Krunoslav
engleski
Ontology-based Approaches to Medical Data Integration
Medical data come in a variety of forms and are stored in different types of databases. Some are structured relational database stores, while others are semi-structured and unstructured, such as the emerging NoSQL data stores. A lot of valuable data can be found in the form of unstructured text, such as clinical notes and discharge letters. To analyze and discover hidden patterns and extract knowledge from the data, they should be integrated. In the field of medicine, many ontologies have been created to provide a common basis for information exchange and to improve semantic interoperability. In this paper, we provide an overview of ontology-based integration approaches for various sources of medical data. We also identify current challenges and provide directions for future research.
Medical data ; Ontologies ; Ontology-based data integration
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
15
2021.
objavljeno
10.54941/ahfe1001110
Podaci o matičnoj publikaciji
Proceedings of the 4th International Conference on Human Systems Engineering and Design (IHSED2021): Future Trends and Applications
Karwowski, Waldemar ; Ahram, Tareq ; Milicevic, Mario ; Etinger, Darko ; Zubrinic, Krunoslav
Dubrovnik: AHFE International
978-1-7923-8987-0
Podaci o skupu
4th International Conference on Human Systems Engineering and Design: Future Trends and Applications (IHSED)
predavanje
23.09.2021-25.09.2021
Dubrovnik, Hrvatska
Povezanost rada
Informacijske i komunikacijske znanosti, Računarstvo