Development and Validation of a Novel Risk Prediction Model Using Recursive Feature Elimination Algorithm for Acute-on-Chronic Liver Failure in Chronic Hepatitis B Patients With Severe Acute Exacerbation

Frontiers in Medicine

Yaxin Lu¹  Zifeng Liu¹  Shaolong Zhong²  Xietong Shi²  Xinhua Li³  Wenli Xu³  Yusheng Jie³  Mingxue Yu³  Yuankai Wu³  Yutian Chong³  Xiangyong Li³ 

[1] The Department of Clinical Data Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China;The Department of Infectious Disease, Jieyang People's Hospital (Jieyang Affiliated Hospital of Sun Yat-sen University), Jieyang, China;TheDepartment of Infectious Disease, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China;

关键词: prediction model;    machine learning;    recursive feature elimination algorithm;    chronic hepatitis B;    acute exacerbation;    acute-on-chronic liver failure (ACLF);   

DOI  :  10.3389/fmed.2021.748915

来源: Frontiers

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