Exploring Big Data in Hematological Malignancies: Challenges and Opportunities

被引:1
|
作者
Westin, Gustavo F. [1 ]
Dias, Ajoy L. [1 ]
Go, Ronald S. [1 ]
机构
[1] Mayo Clin, Div Hematol, 200 First St SW, Rochester, MN 55905 USA
关键词
Acute myeloid leukemia; Hodgkin lymphoma; Diffuse large B cell lymphoma; Multiple myeloma; Amyloidosis; Hematopoietic stem cell transplantation; CHRONIC LYMPHOCYTIC-LEUKEMIA; STEM-CELL TRANSPLANTATION; CHEMOTHERAPY PLUS RITUXIMAB; STAGE HODGKINS LYMPHOMA; ACUTE MYELOID-LEUKEMIA; HIGH-DOSE MELPHALAN; HEALTH-CARE-SYSTEM; MULTIPLE-MYELOMA; ELDERLY-PATIENTS; UNDETERMINED SIGNIFICANCE;
D O I
10.1007/s11899-016-0331-4
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页码:271 / 279
页数:9
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