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Big Data in Oncology Nursing Research: State of the Science.
Harris, Carolyn S; Pozzar, Rachel A; Conley, Yvette; Eicher, Manuela; Hammer, Marilyn J; Kober, Kord M; Miaskowski, Christine; Colomer-Lahiguera, Sara.
Afiliação
  • Harris CS; Postdoctoral Scholar, School of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
  • Pozzar RA; Nurse Scientist at Phyllis F. Cantor Center for Research in Nursing and Patient Care Services, Dana-Farber Cancer Institute, Boston, Massachusetts, USA and Instructor at Harvard Medical School, Boston, Massachusetts, USA.
  • Conley Y; Professor, School of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
  • Eicher M; Associate Professor and Director of the Institute of Higher Education and Research in Healthcare (IUFRS), Faculty of Biology and Medicine, University of Lausanne, and Lausanne University Hospital, Lausanne, Switzerland.
  • Hammer MJ; Director, The Phyllis F. Cantor Center for Research in Nursing and Patient Care Services, Dana-Farber Cancer Institute, Boston, Massachusetts, USA and Lecturer at Harvard Medical School, Boston, Massachusetts, USA.
  • Kober KM; Associate Professor, School of Nursing, University of California, San Francisco, California, USA.
  • Miaskowski C; Professor, Schools of Medicine and Nursing, University of California, San Francisco, California, USA.
  • Colomer-Lahiguera S; Senior Nurse Scientist and Junior Lecturer, Institute of Higher Education and Research in Healthcare (IUFRS), Faculty of Biology and Medicine, University of Lausanne, and Lausanne University Hospital, Lausanne, Switzerland. Electronic address: sara.colomer-lahiguera@chuv.ch.
Semin Oncol Nurs ; 39(3): 151428, 2023 06.
Article em En | MEDLINE | ID: mdl-37085404
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pesquisa em Enfermagem / Big Data Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pesquisa em Enfermagem / Big Data Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article