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--- |
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task_categories: |
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- token-classification |
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language: |
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- en |
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tags: |
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- ner |
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- bioner |
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- pii |
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--- |
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Labels for Physionet Gold Corpus following the I2B2-2014 de-identification challenge guidelines |
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========== |
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The data consists of labels for the Physionet Gold Corpus dataset: |
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https://physionet.org/content/deidentifiedmedicaltext/1.0/. |
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Annotation follows the guidelines described in section 4 of: |
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Amber Stubbs OU. Annotating longitudinal clinical narratives for de-identification: the 2014 |
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i2b2/UTHealth Corpus. J Biomed Inform. 2015;58(Suppl):S20, |
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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978170/. |
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This labeling was used in the paper "Customization Scenarios for De-identification of Clinical |
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Notes" in order to generate results for models trained on I2B2-2014 dataset, and evaluated on the |
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Physionet Gold Corpus dataset. |
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Contact: |
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------- |
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For questions or comments, please contact corresponding authors appearing in the paper. |
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Data: |
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---- |
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Data includes: |
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1. I2B2-2014-Relabeled-PhysionetGoldCorpus.csv Comma Separated Values with the following columns: |
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a. record_id - string of the form "<int>||||<int>||||" corresponding to the id given in the original Physionet Gold Corpus dataset. |
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For example, "22||||35||||" corresponds to START_OF_RECORD=22||||35|||| start marker in the original Physionet corpus. |
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b. begin - int, specifying the relative offset of the span relative to START_OF_RECORD. |
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c. length - int, specifying the length of span. |
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d. type - enum, with one of the following values: NAME, AGE, ORGANIZATION, ID, DATE, CITY, STATE, COUNTRY, LOCATION, HOSPITAL, PHONE, PROFESSION. |
