首页|期刊导航|Digital Chinese Medicine|An interpretability model for syndrome differentiation of HBV-ACLF in traditional Chinese medicine using small-sample imbalanced data

An interpretability model for syndrome differentiation of HBV-ACLF in traditional Chinese medicine using small-sample imbalanced data

ZHOU Zhan PENG Qinghua XIAO Xiaoxia ZOU Beiji LIU Bin GUO Shuixia

Digital Chinese Medicine2024，Vol.7Issue(2)：P.137-147,11.

Digital Chinese Medicine2024，Vol.7Issue(2)：P.137-147,11.DOI:10.1016/j.dcmed.2024.09.005

An interpretability model for syndrome differentiation of HBV-ACLF in traditional Chinese medicine using small-sample imbalanced data

ZHOU Zhan ¹PENG Qinghua ²XIAO Xiaoxia ¹ZOU Beiji ¹LIU Bin ¹GUO Shuixia³

作者信息

1. School of Informatics,Hunan University of Chinese Medicine,Changsha,Hunan 410208,China
2. School of Traditional Chinese Medicine,Hunan University of Chinese Medicine,Changsha,Hunan 410208,China
3. School of Mathematics and Statistics,Hunan Normal University,Changsha,Hunan 410081,China
折叠

摘要

关键词

Traditional Chinese medicine(TCM)/Hepatitis B-related acute-on-chronic/liver failure(HBV-ACLF)/Imbalanced data/Random forest(RF)/Interpretability

分类

医药卫生

引用本文复制引用

ZHOU Zhan,PENG Qinghua,XIAO Xiaoxia,ZOU Beiji,LIU Bin,GUO Shuixia..An interpretability model for syndrome differentiation of HBV-ACLF in traditional Chinese medicine using small-sample imbalanced data[J].Digital Chinese Medicine,2024,7(2):P.137-147,11.

基金项目

Key research project of Hunan Provincial Administration of Traditional Chinese Medicine(A2023048) （A2023048）

Key Research Foundation of Education Bureau of Hunan Province,China(23A0273). （23A0273）

Digital Chinese Medicine

ISSN：2096-479X

访问量0

下载量0

段落导航