Pregled bibliografske jedinice broj: 320919
Medical knowledge representation within Heartfaid platform
Medical knowledge representation within Heartfaid platform // BIOSTEC 2008
Funchal, Portugal: INSTICC Institute for Systems and Technologies of Information, Control and Communication, 2008. str. 307-314 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 320919 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Medical knowledge representation within Heartfaid platform
Autori
Gamberger, Dragan ; Prcela, Marin ; Jović, Alan ; Šmuc, Tomislav ; Parati, Ganfranco ; Valentini, Mariaconsuelo ; Kawecka-Jaszcz, Kalina ; Styczkiewicz, Katarzyna ; Kononowicz, Andrzej ; Candelieri, Antonio ; Conforti, Domenico ; Guido, Rosita ;
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
BIOSTEC 2008
/ - : INSTICC Institute for Systems and Technologies of Information, Control and Communication, 2008, 307-314
ISBN
978-989-8111-16-6
Skup
Biostec 2008 International Joint Conference on Biomedical Engineering Systems and Technologies
Mjesto i datum
Funchal, Portugal, 28.01.2008. - 31.01.2008
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Heart failure; knowledge representation; ontology; production rules
Sažetak
The paper presents the results of the development of the knowledge base for the HEARTFAID platform. The means and methods used to collect, systematize and formalize medical knowledge, as well as to test the developed knowledge representation are described. The descriptive part of the knowledge base is realized as an ontology which conceptualizes the heart failure medical domain. The procedural part of the knowledge base is realized through sets of production rules. The procedural knowledge covers the tasks of heart failure diagnosis, severity assessment, treatment process, medication prescription and dosage, medication contraindications, prognosis estimation, and acute decompensation detection. Finally, medical plans are used to present medical actionable knowledge. Currently they are used only to systemize procedural knowledge development process but they present a challenge for the future work in the field of medical knowledge representation.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
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