Assessing the quality and performance of synthetic data augmentation to identify stigmatizing language in obstetric clinical notes

Nursing Outlook 2026

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Authors: Jihye Kim Scroggins, Veronica Barcelona, Ismael I. Hulchafo, Sarah Harkins, Zhihong Zhang, Danielle Scharp, Kenrick Cato, Hans Jonas Fossum Moen, Anahita Davoudi, Michele Tadiello, Maxim Topaz
DOI: 10.1016/j.outlook.2026.102757
Cited by: 1
References: 44

Fields of Study & Subjects

Machine Learning in Healthcare Health Literacy and Information Accessibility Topic Modeling

Publication details

Journal / source
Nursing Outlook
Publisher
Elsevier BV
Volume
74
Issue
3
Pages
102757–102757
Publication date
9 April 2026
Language
EN