Article info

Original research
Develop an ADR prediction system of Chinese herbal injections containing Panax notoginseng saponin: a nested case–control study using machine learning

Authors

  • Xing-Wei Wu Pharmacy, University of Electronic Science and Technology of China Sichuan Provincial People's Hospital, Chengdu, Sichuan, ChinaChinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, Sichuan, China PubMed articlesGoogle scholar articles
  • Jia-Ying Zhang Pharmacy, Chengdu First People's Hospital, Chengdu, Sichuan, China PubMed articlesGoogle scholar articles
  • Huan Chang Pharmacy, University of Electronic Science and Technology of China Sichuan Provincial People's Hospital, Chengdu, Sichuan, China PubMed articlesGoogle scholar articles
  • Xue-Wu Song Pharmacy, University of Electronic Science and Technology of China Sichuan Provincial People's Hospital, Chengdu, Sichuan, ChinaChinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, Sichuan, China PubMed articlesGoogle scholar articles
  • Ya-Lin Wen Pharmacy, University of Electronic Science and Technology of China Sichuan Provincial People's Hospital, Chengdu, Sichuan, China PubMed articlesGoogle scholar articles
  • En-Wu Long Pharmacy, University of Electronic Science and Technology of China Sichuan Provincial People's Hospital, Chengdu, Sichuan, ChinaChinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, Sichuan, China PubMed articlesGoogle scholar articles
  • Rong-Sheng Tong Pharmacy, University of Electronic Science and Technology of China Sichuan Provincial People's Hospital, Chengdu, Sichuan, ChinaChinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, Sichuan, China PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Rong-Sheng Tong; 318004031{at}qq.com
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Citation

Wu X, Zhang J, Chang H, et al
Develop an ADR prediction system of Chinese herbal injections containing Panax notoginseng saponin: a nested case–control study using machine learning

Publication history

  • Received January 27, 2022
  • Accepted August 19, 2022
  • First published September 8, 2022.
Online issue publication 
September 08, 2022
  • Supplementary Data

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