Pregled bibliografske jedinice broj: 1517
ILLM - Inductive Learning Algorithm as a Method for Prediction of Life Expectancy Achieving
ILLM - Inductive Learning Algorithm as a Method for Prediction of Life Expectancy Achieving // Medical Informatics Europe '97 / Pappas, C. ; Maglaveras, N. ; Scherrer, J.R. (ur.).
Amsterdam: IOS Press, 1997. str. 656-660 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1517 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
ILLM - Inductive Learning Algorithm as a Method for Prediction of Life Expectancy Achieving
Autori
Kern, Josipa ; Gamberger, Dragan ; Sonicki, Zdenko ; Vuletić, Silvije
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Medical Informatics Europe '97
/ Pappas, C. ; Maglaveras, N. ; Scherrer, J.R. - Amsterdam : IOS Press, 1997, 656-660
Skup
Medical Informatics Europe '97
Mjesto i datum
Atena, Grčka, 01.04.1997. - 03.04.1997
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
machine learning; life expectancy achieving
Sažetak
The aim of the paper was to use inductive learning algorithm ILLM in the field of epidemiology, for prediction the life expectancy achieving. Data base comprised results of epidemiological investigation in some regions of Croatia. Overall accuracies for different samples and corresponding rules produced by ILLM algorithm, showed some interesting results. Algorithm can be seen as having the capacity to forecast achieving the life expectancy. In the same time algorithm was not able to make a good forecast for not achieving the life expectancy.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
00980501
Ustanove:
Institut "Ruđer Bošković", Zagreb
Profili:
Josipa Kern
(autor)
Silvije Vuletić
(autor)
Zdenko Sonicki
(autor)
Dragan Gamberger
(autor)