Malaria Risk Exposure Prediction
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Regression Trees and Random forest based feature selection for malaria risk exposure prediction
This paper deals with prediction of anopheles number, the main vector of malaria risk, using environmental and climate variables.
Lasso based feature selection for malaria risk exposure prediction
In life sciences, the experts generally use empirical knowledge to recode variables, choose interactions and perform selection by classical approach.
