Naslov
Novel methods for assesing fish blood biochemical data

Autori
Čož-Rakovac, Rozelinda ; Šmuc, Tomislav ; Topić Popović, Natalija ; Strunjak-Perović, Ivančica ; Hacmanjek, Mato ; Jadan, Margita

Izvornik
Journal of Applied Ichthyology (0175-8659) 24 (2008), 1; 77-80

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
fish ; blood ; biochemistry ; machine learning

Sažetak
The purpose of this study was the identification and quantification of biochemical parameters over a 1-year cycle and to provide a detailed picture of seasonal changes in plasma metabolites and enzymes. Using the novel methods of machine learning techniques, the authors created and generated for the first time comprehensible classification models for exploring the importance of blood chemistry parameters, strength, mutual interactions or dependencies, and reliability of particular parameters within the seasonal groups.

Izvorni jezik
Engleski

Znanstvena područja
Biologija, Veterinarska medicina, Poljoprivreda (agronomija)

POVEZANOST RADA