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[Random survival forest: applying machine learning algorithm in survival analysis of biomedical data]

Z Chen1, H M Xu2, Z X Li2

  • 1Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, Beijing 100142, China Department of Biostatistics, Columbia University Mailman School of Public Health, New York City 10032, the United States.

Zhonghua Yu Fang Yi Xue Za Zhi [Chinese Journal of Preventive Medicine]
|January 17, 2021
PubMed

Keywords:
Artificial intelligenceModels, statisticalRandom survival forest

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