Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations

Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations

Bibliographic Details
Main Authors: Adam, Hammaad, Yang, Ming Ying, Cato, Kenrick, Baldini, Ioana, Senteio, Charles, Celi, Leo Anthony, Zeng, Jiaming, Singh, Moninder, Ghassemi, Marzyeh
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: ACM|Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society 2022
Online Access:https://hdl.handle.net/1721.1/146436

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