NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs-Reference-Cited by-同舟云学术

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NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs

Published:2024-06-03 Issue: Volume:356 Page:1446-1463
ISSN:
Container-title:The 2024 ACM Conference on Fairness, Accountability, and Transparency
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Author:

Antoniak Maria¹^ORCID,Naik Aakanksha¹^ORCID,Alvarado Carla S.²^ORCID,Wang Lucy Lu³^ORCID,Chen Irene Y.⁴^ORCID

Affiliation:

1. Allen Institute for AI, USA

2. Association of American Medical Colleges, Center for Health Justice, USA

3. University of Washington, Allen Institute for AI, USA

4. University of California, Berkeley and University of California, San Francisco, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3630106.3658982

Reference108 articles.

1. Tanveer Ali, David Schramm, Marina Sokolova, and Diana Inkpen. 2013. Can I Hear You? Sentiment Analysis on Medical Forums. In Proceedings of the Sixth International Joint Conference on Natural Language Processing, Ruslan Mitkov and Jong C. Park (Eds.). Asian Federation of Natural Language Processing, Nagoya, Japan, 667–673. https://aclanthology.org/I13-1077

2. Sensemaking and Coping After Pregnancy Loss

3. Narrative Paths and Negotiation of Power in Birth Stories

4. Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum

5. Evaluating Artificial Intelligence Responses to Public Health Questions

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