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• W2038347420 startingPage "182" @default.
• W2038347420 abstract "Multiple linear regression (MLR), radial basis network (RB), and multilayer perceptron (MLP) neural network (NN) models have been explored for the estimation of toxicity of ammonium, imidazolium, morpholinium, phosphonium, piperidinium, pyridinium, pyrrolidinium and quinolinium ionic liquid salts in the Leukemia Rat Cell Line (IPC-81) and Acetylcholinesterase (AChE) using only their empirical formulas (elemental composition) and molecular weights. The toxicity values were estimated by means of decadic logarithms of the half maximal effective concentration (EC(50)) in microM (log(10)EC(50)). The model's performances were analyzed by statistical parameters, analysis of residuals and central tendency and statistical dispersion tests. The MLP model estimates the log(10)EC(50) in IPC-81 and AchE with a mean prediction error less than 2.2 and 3.8%, respectively." @default.
• W2038347420 created "2016-06-24" @default.
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• W2038347420 creator A5068756151 @default.
• W2038347420 creator A5069925402 @default.
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• W2038347420 date "2009-05-01" @default.
• W2038347420 modified "2023-10-01" @default.
• W2038347420 title "Estimation of toxicity of ionic liquids in Leukemia Rat Cell Line and Acetylcholinesterase enzyme by principal component analysis, neural networks and multiple lineal regressions" @default.
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• W2038347420 doi "https://doi.org/10.1016/j.jhazmat.2008.08.022" @default.
• W2038347420 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/18805639" @default.
• W2038347420 hasPublicationYear "2009" @default.
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