Using Natural Language Processing to Identify Stigmatizing Language in Labor and Birth Clinical Notes.
Introduction: Stigma and bias related to race and other minoritized statuses may underlie disparities in pregnancy and birth outcomes. One emerging method to identify bias is the study of stigmatizing language in the electronic health record. The objective of our study was to develop automated natur...
| Published in: | Maternal & Child Health Journal Vol. 28; no. 3; pp. 578 - 587 |
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| Main Authors: | , , , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Springer Nature
Mar2024
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| Online Access: | View this record in EBSCOhost |