Class-imbalance Prediction and High-dimensional Risk Factor Identification of Adverse Reactions of Traditional Chinese Medicine with Centralized Monitoring in Real-world Hospitals

XIE Feibiao; PENG Yehui; YANG Wei; TANG Jinfa; LIU Juan; LI Weixia; ZHANG Hui; WU Dongyuan; WU Yali; LENG Yuanming; XIANG Xinghua

doi:10.13422/j.cnki.syfjx.20230352

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Class-imbalance Prediction and High-dimensional Risk Factor Identification of Adverse Reactions of Traditional Chinese Medicine with Centralized Monitoring in Real-world Hospitals

Updated：2023-06-20

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- Class-imbalance Prediction and High-dimensional Risk Factor Identification of Adverse Reactions of Traditional Chinese Medicine with Centralized Monitoring in Real-world Hospitals
- XIE Feibiao , PENG Yehui , YANG Wei , TANG Jinfa , LIU Juan , LI Weixia , ZHANG Hui , WU Dongyuan , WU Yali , LENG Yuanming , XIANG Xinghua
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 29, Issue 14, Pages: 114-122(2023)
- Affiliations：
  1.School of Mathematics and Computational Science，Hunan University of Science and Technology，Xiangtan 411201，China
  2.Institute of Basic Research in Clinical Medicine， China Academy of Chinese Medical Sciences，Beijing 100700，China
  3.Henan Engineering Research Center for Clinical Application，Evaluation and Transformation of Traditional Chinese Medicine，The First Affiliated Hospital of Henan University of Chinese Medicine，Zhengzhou 450000，China
  4.China Academy of Inspection and Quarantine，Beijing 100123，China
  5.College of Public Health and Health Professions，University of Florida，Florida 32601，USA
  6.College of Art and Science，Boston University，Boston 02215，USA
- Author bio：
- Funds：
- DOI： 10.13422/j.cnki.syfjx.20230352
  CLC：
- Accepted：
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