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Demographic and histopathologic features of dogs with abnormally high concentrations of hepatic copper
2.2.3 Multiple regression generalized linear modeling and machine learning Once a set of optimal features was selected, a Gaussian generalized linear model on the log-scale was fit to the retrospective (1.1) and breed datasets (1.2). Selected features and their interactions were included in the models. Candidate models were then compared using the Akaike Information Criterion (AIC)59 with the selected model having the lowest and optimal AIC.
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