@inproceedings{6466fd9cfa39433fb5c61da932984b1b,
title = "Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications",
keywords = "algorithmic fairness, contrastive learning, debiasing, disparate treatment, Electronic Health Records (EHRs)",
author = "Ankita Agarwal and Tanvi Banerjee and Romine, {William L.} and Mia Cajita",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Conference on Big Data, BigData 2024 ; Conference date: 15-12-2024 Through 18-12-2024",
year = "2024",
doi = "10.1109/BigData62323.2024.10825827",
language = "English",
series = "Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6411--6419",
editor = "Wei Ding and Chang-Tien Lu and Fusheng Wang and Liping Di and Kesheng Wu and Jun Huan and Raghu Nambiar and Jundong Li and Filip Ilievski and Ricardo Baeza-Yates and Xiaohua Hu",
booktitle = "Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024",
}