Naslov
Experiments with noise detection algorithms in the diagnosis of coronary artery disease

Autori
Gamberger, Dragan ; Lavrač, Nada

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
IDAMAP Workshop at 13th European Conference on Artificial Intelligence / Bellazzi, Riccardo ; Zupan, Blaž - Brighton : University of Brighton, 1998, 29-33

Skup
IDAMAP Workshop at 13th European Conference on Artificial Intelligence

Mjesto i datum
Brighton, Ujedinjeno Kraljevstvo, 25.08.1998

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Noise detection; Saturation filter

Sažetak
The paper presents a series of noise detection experiments in a medical problem of coronary artery disease diagnosis. The following algorithms for noise detection and elimination are tested: a classification filter, a saturation filter, a combined classification-saturation filter, and a consensus saturation filter. The distinguishing feature of the consensus saturation filter is its high reliability which is due to multiple detection of potentially noisy examples. Reliable detection of noisy examples is important for the analysis of patient records in medical databases, as well as for the induction of rules from filtered data, representing genuine characteristics of the diagnostic domain. Medical evaluation in the problem of coronary artery disease diagnosis shows that the detected noisy examples are indeed noisy or non-typical class representatives.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

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