Pregled bibliografske jedinice broj: 37078
Diagnostic rules of increased reliability for critical medical applications
Diagnostic rules of increased reliability for critical medical applications // Proc. of Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
Berlin: Springer, 1999. str. 361-365 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 37078 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Diagnostic rules of increased reliability for critical medical applications
Autori
Gamberger, Dragan ; Lavrač, Nada ; Grošelj, Ciril
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proc. of Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
/ - Berlin : Springer, 1999, 361-365
Skup
Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99
Mjesto i datum
Aalborg, Danska, 20.06.1999. - 24.06.1999
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
inductive learning; rules; coronary artery disease
Sažetak
This paper presents a novel approach to the construction of reliable diagnostic rules from the available cases with known diagnoses. It proposes a simple and general framework based on the generation of the so-called confirmation rules. A property of a system of confirmation rules is that it allows for indecisive answers, which, as a consequence, enables that all decisive answers proposed by the system are reliable. Moreover, the consensus of two or more confirmation rules additionally increases the reliability of diagnostic answers. Experimental results in the problem of coronary artery disease diagnosis illustrate the approach.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
