New Variations of Random Survival Forests and Applications to Age-Related Disease Data

Author:

Pomsuwan Tossapol1,Freitas Alex A.1

Affiliation:

1. School of Computing University of Kent Canterbury,UK

Publisher

IEEE

Reference34 articles.

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4. Prediction of lung cancer patient survival via supervised machine learning classification techniques;lynch;Ternational Journal of Medical Informatics,2016

5. Permutation importance: a corrected feature importance measure

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