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Artificial Intelligence-Based Pharmacovigilance in the Setting of Limited Resources.
Liang, Likeng; Hu, Jifa; Sun, Gang; Hong, Na; Wu, Ge; He, Yuejun; Li, Yong; Hao, Tianyong; Liu, Li; Gong, Mengchun.
Afiliação
  • Liang L; School of Computer Science, South China Normal University, Guangzhou, China.
  • Hu J; The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Sun G; Key Laboratory of Oncology of Xinjiang Uyghur Autonomous Region, The Affiliated Cancer Hospital of Xinjiang Medical University, Ürümqi, China.
  • Hong N; Digital Health China Technologies Co., Ltd., Beijing, China.
  • Wu G; Digital Health China Technologies Co., Ltd., Beijing, China.
  • He Y; Digital Health China Technologies Co., Ltd., Beijing, China.
  • Li Y; School of Computer Science, South China Normal University, Guangzhou, China.
  • Hao T; School of Computer Science, South China Normal University, Guangzhou, China.
  • Liu L; Institute of Health Management, Southern Medical University, Guangzhou, China.
  • Gong M; Institute of Health Management, Southern Medical University, Guangzhou, China. gmc@nrdrs.org.
Drug Saf ; 45(5): 511-519, 2022 05.
Article em En | MEDLINE | ID: mdl-35579814
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Farmacovigilância Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Farmacovigilância Idioma: En Ano de publicação: 2022 Tipo de documento: Article