Abstract
Phenanthrene, a PAH with three fused benzene rings, is usually used as a model for the study on PAHs. During 4 days, 166 male mice were equally and randomly divided into two groups. One group was given vehicle-corn oil by oral gavage, the other was given phenanthrene at a dose of 450 milligrams per kilogram per day. In this study, in order to predict mice’s phenanthrene poisoning by virtue of blood analysis indices, a new machine learning approach was put forward, which was based on an improved binary moth-flame optimizer combined with extreme learning machine. The results of the experiment have manifested that the blood analysis indices of the control and phenanthrene groups were significantly different ( $p ). The most important correlated indices including serum alanine aminotransferase (ALT), gamma-glutamyl transferase (GGT), plateletcrit (PCT) and red blood cell distribution width-standard deviation (RDW-SD) were screened through feature selection. The classification results demonstrated that the proposed method can achieve 93.38% accuracy and 98.33% specificity. Promisingly, there is a new and accurate way to detect the status of phenanthrene poisoning expectably.
Highlights
Polycyclic aromatic hydrocarbons (PAHs), containing two or more fused aromatic rings, are a common source of contamination in the environment [1]–[3]
The results demonstrated that the IMPROVED MOTH-FLAME OPTIMIZER (IMFO)-extreme learning machine (ELM) can offer 93.98% ACC, 89.15% sensitivity, 98.33% specificity and 0.8758 Matthews correlation coefficients (MCC)
The results show that the Std. of the proposed hybrid system was superior to the original ELM method without feature selection in terms of ACC, sensitivity, specificity and MCC
Summary
Polycyclic aromatic hydrocarbons (PAHs), containing two or more fused aromatic rings, are a common source of contamination in the environment [1]–[3]. In 1976, the United States Environmental Protection Agency (US EPA) listed 16 PAHs as priority pollutants due to their potential risk to human’s health [4], [5]. Phenanthrene, a PAH with three fused benzene rings, is usually used as a model for the study on PAHs [6]–[8]. Zhang et al [15] showed that glutathione was proposed as a potential useful biomarker for toxic risk assessment of environmental pollutant phenanthrene in clam Venerupis philippinarum, while some biomarkers were set to evaluate the levels of phenanthrene toxicity on earthworm
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