Novel methods for assesing fish blood biochemical data (CROSBI ID 135594)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Čož-Rakovac, Rozelinda ; Šmuc, Tomislav ; Topić Popović, Natalija ; Strunjak-Perović, Ivančica ; Hacmanjek, Mato ; Jadan, Margita
engleski
Novel methods for assesing fish blood biochemical data
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.
fish ; blood ; biochemistry ; machine learning
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Podaci o izdanju
24 (1)
2008.
77-80
objavljeno
0175-8659
10.1111/j.1439-0426.2007.01041.x
Povezanost rada
Biologija, Veterinarska medicina, Poljoprivreda (agronomija)