Development of Query Strategies to Identify a Histologic Lymphoma Subtype in a Large Linked Database System
Background Large linked databases (LLDB) represent a novel resource for cancer outcomes research. However, accurate means of identifying a patient population of interest within these LLDBs can be challenging. Our research group developed a fully integrated platform that provides a means of combining...
Main Authors: | Michael Graiser, Susan G. Moore, Rochelle Victor, Ashley Hilliard, Leroy Hill, Michael S. Keehan, Christopher R. Flowers M.D., M.S. |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2007-01-01
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Series: | Cancer Informatics |
Online Access: | https://doi.org/10.1177/117693510700300017 |
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