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Title of Collaborative Activity:

Data Mining on FDA's 510K Documents for Laboratory Tests

Description of Collaborative Activity:

U.S. Food and Drug Administration (FDA) provides a large corpus of text about decision summaries on the applications for in vitro diagnostic (laboratory) products. This corpus of text contains valuable information about the nature of laboratory testing devices and test products such as analyte and specimen names that are tested, unit of measures, and analyte detection limits of the presented devices and products. In this project NLM is trying to recognize and extract this information algorithmically and provide them to the operators who are responsible to collect this information and enter it into the LOINC database manually.

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