Design of a smart biomarker for bioremediation: A machine learning approach

Abstract Many trace elements (TE) occur naturally in marine environments and accomplish decisive functions in humans to maintain good health. Mytilus galloprovincialis (MG) is a rich source of TE, but since it is grown near industrial outfalls, they become polluted with elevated levels of TE concent...

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Veröffentlicht in:	Computers in biology and medicine 2011-06, Vol.41 (6), p.357-360
Hauptverfasser:	Krishna Kumar, P.T, Vinod, P.T, Phoha, Vir V, Iyengar, S.S, Iyengar, Puneeth
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Animals Artificial Intelligence Biodegradation, Environmental Biomarker Biomarkers Bioremediation Computer science Covariance matrix Data mining Data processing Information Theory Internal Medicine Marine pollution Maximization of Mutual Information for bioremediation Metals, Heavy - analysis Models, Biological Mytilus - chemistry Mytilus - physiology Mytilus galloprovincialis Other Principal Component Analysis Principal components analysis Reduction of trace element concentration for bioremediation Studies Technique of determinant inequalities Toxicity Tests Trace elements Water Pollutants, Chemical - analysis
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