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Using Natural Language Processing to Identify Stigmatizing Language in Labor and Birth Clinical Notes.

Veronica BarcelonaDanielle ScharpHans MoenAnahita DavoudiBetina R IdnayKenrick CatoMaxim Topaz
Published in: Maternal and child health journal (2023)
We identified well-performing machine learning methods to automatically detect stigmatizing language in clinical notes. To our knowledge, this is the first study to use NLP performance metrics to evaluate the performance of machine learning methods in discerning stigmatizing language. Future studies should delve deeper into refining and evaluating NLP methods, incorporating the latest algorithms rooted in deep learning.
Keyphrases
  • machine learning
  • deep learning
  • autism spectrum disorder
  • artificial intelligence
  • big data
  • healthcare
  • current status
  • gestational age
  • pregnancy outcomes