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+
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+ ---
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+ language:
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+ - en
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+ license: other
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+ license_bigbio_shortname: DUA
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+ pretty_name: n2c2 2010 Concepts, Assertions, and Relations
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+ ---
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+
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+
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+ # Dataset Card for n2c2 2010 Concepts, Assertions, and Relations
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/
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+ - **Pubmed:** False
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+ - **Public:** False
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+ - **Tasks:** Named Entity Recognition, Relation Extraction
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+
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+
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+ The i2b2/VA corpus contained de-identified discharge summaries from Beth Israel
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+ Deaconess Medical Center, Partners Healthcare, and University of Pittsburgh Medical
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+ Center (UPMC). In addition, UPMC contributed de-identified progress notes to the
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+ i2b2/VA corpus. This dataset contains the records from Beth Israel and Partners.
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+
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+ The 2010 i2b2/VA Workshop on Natural Language Processing Challenges for Clinical Records comprises three tasks:
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+ 1) a concept extraction task focused on the extraction of medical concepts from patient reports;
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+ 2) an assertion classification task focused on assigning assertion types for medical problem concepts;
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+ 3) a relation classification task focused on assigning relation types that hold between medical problems,
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+ tests, and treatments.
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+
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+ i2b2 and the VA provided an annotated reference standard corpus for the three tasks.
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+ Using this reference standard, 22 systems were developed for concept extraction,
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+ 21 for assertion classification, and 16 for relation classification.
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+
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+
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+
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+ ## Citation Information
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+
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+ ```
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+ @article{DBLP:journals/jamia/UzunerSSD11,
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+ author = {
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+ Ozlem Uzuner and
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+ Brett R. South and
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+ Shuying Shen and
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+ Scott L. DuVall
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+ },
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+ title = {2010 i2b2/VA challenge on concepts, assertions, and relations in clinical
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+ text},
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+ journal = {J. Am. Medical Informatics Assoc.},
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+ volume = {18},
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+ number = {5},
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+ pages = {552--556},
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+ year = {2011},
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+ url = {https://doi.org/10.1136/amiajnl-2011-000203},
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+ doi = {10.1136/amiajnl-2011-000203},
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+ timestamp = {Mon, 11 May 2020 23:00:20 +0200},
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+ biburl = {https://dblp.org/rec/journals/jamia/UzunerSSD11.bib},
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+ bibsource = {dblp computer science bibliography, https://dblp.org}
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+ }
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+
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+ ```