Individual mortality risk predictive system of patients with acute-on-chronic liver failure based on a random survival forest model

Individual mortality risk predictive system of patients with acute-on-chronic liver failure based on a random survival forest model

Abstract. Background:. The basis of individualized treatment should be individualized mortality risk predictive information. The present study aimed to develop an online individual mortality risk predictive tool for acute-on-chronic liver failure (ACLF) patients based on a random survival forest (RS...

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Bibliographic Details
Main Authors: Zhi-Qiao Zhang, Gang He, Zhao-Wen Luo, Can-Chang Cheng, Peng Wang, Jing Li, Ming-Gu Zhu, Lang Ming, Ting-Shan He, Yan-Ling Ouyang, Yi-Yan Huang, Xing-Liu Wu, Yi-Nong Ye, Peng Lyu
Format: Article
Language:English
Published: Wolters Kluwer 2021-07-01
Series:Chinese Medical Journal
Online Access:http://journals.lww.com/10.1097/CM9.0000000000001539

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http://journals.lww.com/10.1097/CM9.0000000000001539

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