Exploring Big Data in Hematological Malignancies: Challenges and Opportunities.
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.
Palabras clave
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