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Novel methods for assesing fish blood biochemical data

Čož-Rakovac, Rozelinda; Šmuc, Tomislav; Topić Popović, Natalija; Strunjak-Perović, Ivančica; Hacmanjek, Mato; Jadan, Margita (2008) Novel methods for assesing fish blood biochemical data. Journal of Applied Ichthyology, 24 (1). pp. 77-80. ISSN 0175-8659

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: fish; blood; biochemistry; machine learning
Subjects: NATURAL SCIENCES > Biology
Divisions: Division of Materials Chemistry
Projects:
Project titleProject leaderProject codeProject type
Substanična biokemijska i filogenetska raznolikost tkiva riba, rakova i školjaka-Rozelinda Čož-Rakovac098-1782739-2749MZOS
Strojno učenje prediktivnih modela u računalnoj biologiji-Tomislav Šmuc098-0000000-3168MZOS
Depositing User: Natalija Topić Popović
Date Deposited: 08 Dec 2017 11:29
Last Modified: 08 Dec 2017 11:29
URI: http://fulir.irb.hr/id/eprint/3776
DOI: 10.1111/j.1439-0426.2007.01041.x

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