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

Conclusion 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.
Source: Maternal and Child Health Journal - Category: Health Management Source Type: research