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Exploring Big Data in Hematological Malignancies: Challenges and Opportunities.
Westin, Gustavo F; Dias, Ajoy L; Go, Ronald S.
Afiliación
  • Westin GF; Division of Hematology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
  • Dias AL; Division of Hematology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
  • Go RS; Division of Hematology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. go.ronald@mayo.edu.
Curr Hematol Malig Rep ; 11(4): 271-9, 2016 08.
Article en En | MEDLINE | ID: mdl-27177742
Secondary analysis of large datasets has become a useful alternative to address research questions outside the reach of clinical trials. It is increasingly utilized in hematology and oncology. In this review, we provided an overview of some examples of commonly used large datasets in the USA and described common research themes that can be pursued using such a methodology. We selected a sample of 14 articles on adult hematologic malignancies published in 2015 and highlighted their contributions as well as limitations.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Hematológicas Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Curr Hematol Malig Rep Asunto de la revista: HEMATOLOGIA / NEOPLASIAS Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Hematológicas Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Curr Hematol Malig Rep Asunto de la revista: HEMATOLOGIA / NEOPLASIAS Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos