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Pregled bibliografske jedinice broj: 320919

Medical knowledge representation within Heartfaid platform


Gamberger, Dragan; Prcela, Marin; Jović, Alan; Šmuc, Tomislav; Parati, Ganfranco; Valentini, Mariaconsuelo; Kawecka-Jaszcz, Kalina; Styczkiewicz, Katarzyna; Kononowicz, Andrzej; Candelieri, Antonio et al.
Medical knowledge representation within Heartfaid platform // BIOSTEC 2008
Portugal: INSTICC Institute for Systems and Technologies of Information, Control and Communication, 2008. str. 307-314 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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 / - Portugal : 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, 28-31.01.2008

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


Projekt / tema
098-0982560-2563 - Algoritmi strojnog učenja i njihova primjena (Dragan Gamberger, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb,
Institut "Ruđer Bošković", Zagreb