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