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is ?:annotates of
?:authorAffiliation
  • [\'School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, People\'s Republic of China; School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, New South Wales, 2052, Australia. Electronic address: zenwang@outlook.com.\', \'School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, People\'s Republic of China. Electronic address: 201821140204@std.uestc.edu.cn.\', \'Department of Psychiatric Rehabilitation, Mental Health Center of Shaanxi Province, Xi\'an, 710061, People\'s Republic of China. Electronic address: songmiaodocter@163.com.\', \'The First Clinical Medical College, Zhejiang Chinese Medicine University, Hangzhou, 310006, People\'s Republic of China. Electronic address: jingyan@zcmu.edu.cn.\', \'School of Materials Science and Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia. Electronic address: junjie.shi2@unsw.edu.au.\', \'School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, People\'s Republic of China. Electronic address: yyz@uestc.edu.cn.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • S0378-8741(21)00183-510.1016/j.jep.2021.113957
?:hasPublicationType
?:journal
  • Journal of ethnopharmacology
is ?:pmid of
?:pmid
?:pmid
  • 33631276
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?:rankingScore_SJR
  • 1.15
?:rankingScore_hIndex
  • 162
is ?:relation_isRelatedTo_publication of
?:title
  • Evaluating the Traditional Chinese Medicine (TCM) Officially Recommended in China for COVID-19 Using Ontology-Based Side-Effect Prediction Framework (OSPF) and Deep Learning.
?:type
?:year
  • 2021

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