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EULAR points to consider for the use of big data in rheumatic and musculoskeletal diseases.
Gossec, Laure; Kedra, Joanna; Servy, Hervé; Pandit, Aridaman; Stones, Simon; Berenbaum, Francis; Finckh, Axel; Baraliakos, Xenofon; Stamm, Tanja A; Gomez-Cabrero, David; Pristipino, Christian; Choquet, Remy; Burmester, Gerd R; Radstake, Timothy R D J.
Afiliação
  • Gossec L; Institut Pierre Louis d'Epidémiologie et de Santé Publique, INSERM, Sorbonne Universite, Paris, France laure.gossec@gmail.com.
  • Kedra J; APHP, Rheumatology Department, Pitie Salpetriere Hospital, Paris, France.
  • Servy H; Institut Pierre Louis d'Epidémiologie et de Santé Publique, INSERM, Sorbonne Universite, Paris, France.
  • Pandit A; APHP, Rheumatology Department, Pitie Salpetriere Hospital, Paris, France.
  • Stones S; Sanoïa, e-Health services, Gardanne, France.
  • Berenbaum F; Dept of Rheumatology, Clinical Immunology and Laboratory of Translational Immunology, Universitair Medisch Centrum Utrecht, Utrecht, The Netherlands.
  • Finckh A; School of Healthcare, University of Leeds, Leeds, UK.
  • Baraliakos X; Rheumatology, St Antoine Hospital, Sorbonne Université, INSERM, Paris, France.
  • Stamm TA; Division of Rheumatology, University of Geneva, Geneva, Switzerland.
  • Gomez-Cabrero D; Rheumazentrum Ruhrgebiet Sankt Josefs-Krankenhaus, Herne, Germany.
  • Pristipino C; Ruhr-Universitat Bochum, Bochum, Germany.
  • Choquet R; Section for Outcomes Research, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
  • Burmester GR; Translational Bioinformatics Unit, Navarra Biomed, Departamento de Salud-Universidad Públicade Navarra, Pamplona, Navarra, Spain.
  • Radstake TRDJ; Ospedale San Filippo Neri, Rome, Italy.
Ann Rheum Dis ; 79(1): 69-76, 2020 01.
Article em En | MEDLINE | ID: mdl-31229952
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Reumatologia / Doenças Reumáticas / Doenças Musculoesqueléticas / Big Data Tipo de estudo: Guideline Aspecto: Ethics Limite: Humans Idioma: En Revista: Ann Rheum Dis Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Reumatologia / Doenças Reumáticas / Doenças Musculoesqueléticas / Big Data Tipo de estudo: Guideline Aspecto: Ethics Limite: Humans Idioma: En Revista: Ann Rheum Dis Ano de publicação: 2020 Tipo de documento: Article