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[Comparative study of medical common data models for FAIR data sharing].
Wang, A R; Wu, S Z; Liu, S Y; Xiu, X L; Zhou, J Y; Hu, Z Y; Duan, Y F.
Afiliação
  • Wang AR; Department of Medical Data Sharing, Institute of Medical Information, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing 100020, China.
  • Wu SZ; Department of Medical Data Sharing, Institute of Medical Information, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing 100020, China.
  • Liu SY; Department of Medical Data Sharing, Institute of Medical Information, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing 100020, China.
  • Xiu XL; Department of Medical Data Sharing, Institute of Medical Information, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing 100020, China.
  • Zhou JY; Department of Medical Data Sharing, Institute of Medical Information, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing 100020, China.
  • Hu ZY; Department of Medical Data Sharing, Institute of Medical Information, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing 100020, China.
  • Duan YF; Department of Medical Data Sharing, Institute of Medical Information, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing 100020, China.
Zhonghua Liu Xing Bing Xue Za Zhi ; 44(5): 828-836, 2023 May 10.
Article em Zh | MEDLINE | ID: mdl-37221075
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Disseminação de Informação / Big Data Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Disseminação de Informação / Big Data Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Ano de publicação: 2023 Tipo de documento: Article