Pregled bibliografske jedinice broj: 1530
Comparison of two inductive algorithms in diagnosing thyroid functional status
Comparison of two inductive algorithms in diagnosing thyroid functional status // 11th International Symposium on Biomedical Engineering '96 / Štambuk-Boršić, Neda (ur.).
Zagreb: Hrvatsko društvo za komunikacije, računarstvo, elektroniku, mjerenja I automatiku (KoREMA), 1996. str. 130-132 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1530 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Comparison of two inductive algorithms in diagnosing thyroid functional status
Autori
Sonicki, Zdenko ; Gamberger, Dragan ; Kern, Josipa
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
11th International Symposium on Biomedical Engineering '96
/ Štambuk-Boršić, Neda - Zagreb : Hrvatsko društvo za komunikacije, računarstvo, elektroniku, mjerenja I automatiku (KoREMA), 1996, 130-132
Skup
11th International Symposium on Biomedical Engineering '96
Mjesto i datum
Zagreb, Hrvatska, 07.11.1996. - 09.11.1996
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
machine learning; thyroid functional status
Sažetak
The aim of this paper is to compare results of two algorithms, Assistant-algorithm and ILLM (Inductive Learning by Logic Minimisation), applied on thyroid function laboratory diagnostics data. Data base comprised results of the routine assays performed at Clinical Hospital "Sestre Milosrdnice", Zagreb. Overall accuracy of Assistant-algorithm and ILLM-algorithm predictions were 91.7 % and 90.6% respectively. Considering overall accuracies and all specific accuracies in both algorithms it can be seen that ILLM algorithm gives slightly better results, although both algorithms gave medically sound decision tructure.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
