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Balanced Random Survival Forests for Extremely Unbalanced, Right Censored Data
Accuracies of survival models for life expectancy prediction as well as critical-care applications are significantly compromised due to the sparsity of samples and extreme imbalance between the survival (usually, the majority) and mortality class sizes.
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