L1 logistic regression as a feature selection step for training stable classification trees for the prediction of severity criteria in imported malaria

Multivariate classification methods using explanatory and predictive models are necessary for characterizing subgroups of patients according to their risk profiles. Popular methods include logistic regression and classification trees with performances that vary according to the nature and the characteristics of the dataset... (read more)

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Methods used in the Paper

Logistic Regression
Generalized Linear Models