Open AccessRandom forest can accurately predict the development of end-stage renal disease in immunoglobulin a nephropathy patients
Author(s) -
Xin Han,
Xiaonan Zheng,
Ying Wang,
Xiaoru Sun,
Yi Xiao,
Yi Tang,
Wei Qin
Publication year - 2019
Publication title -
annals of translational medicine
Language(s) - English
Resource type - Journals
eISSN - 2305-5847
pISSN - 2305-5839
DOI - 10.21037/atm.2018.12.11
Subject(s) - random forest , end stage renal disease , medicine , nephropathy , antibody , disease , immunology , computer science , artificial intelligence , endocrinology , diabetes mellitus
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