ILLM - Inductive Learning Algorithm as a Method for Prediction of Life Expectancy Achieving (CROSBI ID 463191)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Kern, Josipa ; Gamberger, Dragan ; Sonicki, Zdenko ; Vuletić, Silvije
engleski
ILLM - Inductive Learning Algorithm as a Method for Prediction of Life Expectancy Achieving
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.
machine learning; life expectancy achieving
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Podaci o prilogu
656-660-x.
1997.
objavljeno
Podaci o matičnoj publikaciji
Podaci o skupu
Medical Informatics Europe '97
predavanje
01.04.1997-03.04.1997
Atena, Grčka