Pages that link to "Item:Q305987"
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The following pages link to Application of random forest survival models to increase generalizability of decision trees: a case study in acute myocardial infarction (Q305987):
Displaying 2 items.
- Regression trees for predicting mortality in patients with cardiovascular disease: what improvement is achieved by using ensemble-based methods? (Q2919467) (← links)
- A Note on Breiman's Random Forest Data Mining Technique and Conventional Cox Modeling of Survival Statistics: The Case of the Phantom “Induct” Covariate in the Ohio State University Kidney Transplant Database (Q5421549) (← links)