The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider
removing the
loading script
and relying on
automated data support
(you can use
convert_to_parquet
from the datasets
library). If this is not possible, please
open a discussion
for direct help.
Dataset Card for n2c2 2006 Smoking Status
The data for the n2c2 2006 smoking challenge consisted of discharge summaries from Partners HealthCare, which were then de-identified, tokenized, broken into sentences, converted into XML format, and separated into training and test sets.
Two pulmonologists annotated each record with the smoking status of patients based strictly on the explicitly stated smoking-related facts in the records. These annotations constitute the textual judgments of the annotators. The annotators were asked to classify patient records into five possible smoking status categories: a past smoker, a current smoker, a smoker, a non-smoker and an unknown. A total of 502 de-identified medical discharge records were used for the smoking challenge.
Citation Information
@article{uzuner2008identifying,
author = {
Uzuner, Ozlem and
Goldstein, Ira and
Luo, Yuan and
Kohane, Isaac
},
title = {Identifying Patient Smoking Status from Medical Discharge Records},
journal = {Journal of the American Medical Informatics Association},
volume = {15},
number = {1},
pages = {14-24},
year = {2008},
month = {01},
url = {https://doi.org/10.1197/jamia.M2408},
doi = {10.1136/amiajnl-2011-000784},
eprint = {https://academic.oup.com/jamia/article-pdf/15/1/14/2339646/15-1-14.pdf}
}
- Downloads last month
- 52