FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare-Reference-Cited by-同舟云学术

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FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare

Published:2024-09 Issue: Volume: Page:101059
ISSN:2666-3899
Container-title:Patterns
language:en
Short-container-title:Patterns

Author:

Liu Mingxuan,Ning Yilin,Ke Yuhe,Shang Yuqing,Chakraborty Bibhas,Ong Marcus Eng Hock,Vaughan Roger,Liu Nan

Funder

Duke-NUS Medical School

Publisher

Elsevier BV

Reference64 articles.

1. Artificial Intelligence and Machine Learning in Clinical Medicine, 2023;Haug;N. Engl. J. Med.,2023

2. The rise of artificial intelligence in healthcare applications;Bohr,2020

3. Mitigating bias in AI at the point of care;DeCamp;Science,2023

4. Bias in Medicine;Mertens,2022

5. Detecting shortcut learning for fair medical AI using shortcut testing;Brown;Nat. Commun.,2023

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