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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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# Dataset Card for n2c2 2010 Concepts, Assertions, and Relations |
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## Dataset Description |
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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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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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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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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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## Citation Information |
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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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