Pregled bibliografske jedinice broj: 497109
HEARTFAID medical ontology
HEARTFAID medical ontology // Book of Abstracts - KDSA 2008, Workshop on Knowledge Discovery in Scientific Applications / Gamberger, Dragan (ur.).
Zagreb: Institut Ruđer Bošković, 2008. (predavanje, nije recenziran, sažetak, znanstveni)
CROSBI ID: 497109 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
HEARTFAID medical ontology
Autori
Jović, Alan
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Book of Abstracts - KDSA 2008, Workshop on Knowledge Discovery in Scientific Applications
/ Gamberger, Dragan - Zagreb : Institut Ruđer Bošković, 2008
Skup
KDSA 2008, Workshop on Knowledge Discovery in Scientific Applications
Mjesto i datum
Poreč, Hrvatska, 17.10.2008. - 19.10.2008
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Nije recenziran
Ključne riječi
Knowledge representation; Knowledge discovery; Ontologies
Sažetak
Development of heart failure domain ontology was an important step in the realization of the HEARTFAID platform. The purpose of the ontology was to systematize and summarize in a hierarchy the vast medical knowledge related to the medical disorder of congestive heart failure. The ontology was implemented using OWL-DL language and Protégé environment. Terminological knowledge contained in the ontology forms the basis for the implementation of the explicit reasoning procedures designed to help doctors in examining, diagnosing and treating patients. A single, large ontology had been developed for this purpose. Knowledge had been gathered from various sources: medical experts, congestive heart failure guidelines, project’s medical reports, Internet medical sites (UMLS, Mayo clinic, OpenClinical). The ontology contains a total of 200 different classes, 100 properties and relations between classes and about 2000 individual concepts. It is a precise, voluminous, portable, modular and upgradable representation of the heart failure domain.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Kliničke medicinske znanosti
POVEZANOST RADA
Projekti:
098-0982560-2563 - Algoritmi strojnog učenja i njihova primjena (Gamberger, Dragan, MZOS ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Institut "Ruđer Bošković", Zagreb
Profili:
Alan Jović
(autor)