Pregled bibliografske jedinice broj: 1190909
Ontology-based Approaches to Medical Data Integration
Ontology-based Approaches to Medical Data Integration // 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 (ur.).
Dubrovnik: AHFE International, 2021. 15, 11 doi:10.54941/ahfe1001110 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1190909 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Ontology-based Approaches to Medical Data
Integration
Autori
Obradovic, Ines ; Milicevic, Mario ; Vrdoljak, Boris ; Zubrinic, Krunoslav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
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, 2021
ISBN
978-1-7923-8987-0
Skup
4th International Conference on Human Systems Engineering and Design: Future Trends and Applications (IHSED)
Mjesto i datum
Dubrovnik, Hrvatska, 23.09.2021. - 25.09.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Medical data ; Ontologies ; Ontology-based data integration
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Sveučilište u Dubrovniku