A Machine Learning Approach in Analyzing Bioaccumulation of Heavy Metals in Turbot Tissues
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A Machine Learning Approach in Analyzing Bioaccumulation of Heavy Metals in Turbot Tissues

Petrea ȘM;Costache M;Cristea D;Strungaru ȘA;Simionov IA;Mogodan A;Oprica L;Cristea V;;
Molecules (Basel, Switzerland) 2020 Vol. 25 pp. -
150
Șm2020moleculesa

Abstract

Metals are considered to be one of the most hazardous substances due to their potential for accumulation, magnification, persistence, and wide distribution in water, sediments, and aquatic organisms. Demersal fish species, such as turbot (Psetta maxima maeotica), are accepted by the scientifi …

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National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine pmid:33066472 pmc7587397 doi:10.3390/molecules25204696 Ștefan-mihai petrea mioara costache victor cristea

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