Exploring Big Data in Hematological Malignancies: Challenges and Opportunities

Gustavo F. Westin, Ajoy L. Dias, Ronald S. Go

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1-9
Number of pages9
JournalCurrent Hematologic Malignancy Reports
DOIs
StateAccepted/In press - May 13 2016

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Keywords

  • Acute myeloid leukemia
  • Amyloidosis
  • Diffuse large B cell lymphoma
  • Hematopoietic stem cell transplantation
  • Hodgkin lymphoma
  • Multiple myeloma

ASJC Scopus subject areas

  • Hematology
  • Oncology
  • Cancer Research

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