The patients with AHF were randomly allocated into derivation and validation sets. The independent predictors for AKI development in AHF patients were identified through least absolute shrinkage and ...

In this literature course we will seek to build theoretical frameworks deriving deep networks as consequences ... from simple linear/logistic regression to convolutional neural network and recurrent ...

Assuming that nonbinary variables have been scaled to have mean 0 and standard deviation 0.5, Gelman et al (2008) (A Weakly Informative Default Prior Distribution for Logistic and Other Regression ...

An additional assumption for multiple linear regression is that of no collinearity between the explanatory variables, meaning they should not be highly correlated with each other to allow reliable ...

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We used logistic least absolute shrinkage and selection operator regression to select variables among differentially expressed (DE) genes and clinical features and utilized backward stepwise logistic ...