@article{541517410a6d4103abfad063dc467376,
title = "Bias and fairness assessment of a natural language processing opioid misuse classifier: Detection and mitigation of electronic health record data disadvantages across racial subgroups",
keywords = "bias and fairness, interpretability, machine learning, natural language processing, opioid use disorder, structural racism",
author = "Thompson, \{Hale M.\} and Brihat Sharma and Sameer Bhalla and Randy Boley and Connor McCluskey and Dmitriy Dligach and Churpek, \{Matthew M.\} and Karnik, \{Niranjan S.\} and Majid Afshar",
note = "Publisher Copyright: {\textcopyright} 2021 The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association.",
year = "2021",
month = nov,
day = "1",
doi = "10.1093/jamia/ocab148",
language = "English",
volume = "28",
pages = "2393--2403",
journal = "Journal of the American Medical Informatics Association",
issn = "1067-5027",
number = "11",
}