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Unmasking Bias in AI: A Systematic Review of Bias Detection and
  Mitigation Strategies in Electronic Health Record-based Models

Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models

30 October 2023
Feng Chen
Liqin Wang
Julie Hong
Jiaqi Jiang
Li Zhou
ArXivPDFHTML

Papers citing "Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models"

6 / 6 papers shown
Title
The Multimodal Paradox: How Added and Missing Modalities Shape Bias and Performance in Multimodal AI
The Multimodal Paradox: How Added and Missing Modalities Shape Bias and Performance in Multimodal AI
Kishore Sampath
Pratheesh
Ayaazuddin Mohammad
Resmi Ramachandranpillai
21
0
0
05 May 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
55
0
0
04 May 2025
CLE-SH: Comprehensive Literal Explanation package for SHapley values by
  statistical validity
CLE-SH: Comprehensive Literal Explanation package for SHapley values by statistical validity
Youngro Lee
Kyungjin Kim
Jongmo Seo
FAtt
14
2
0
19 Sep 2024
AI-Driven Healthcare: A Review on Ensuring Fairness and Mitigating Bias
AI-Driven Healthcare: A Review on Ensuring Fairness and Mitigating Bias
Sribala Vidyadhari Chinta
Zichong Wang
Xingyu Zhang
Thang Doan Viet
A. Kashif
Monique Antoinette Smith
Jun Liu
W. Zhang
34
1
0
29 Jul 2024
CLIMB: A Benchmark of Clinical Bias in Large Language Models
CLIMB: A Benchmark of Clinical Bias in Large Language Models
Yubo Zhang
Shudi Hou
Mingyu Derek Ma
Wei Wang
Muhao Chen
Jieyu Zhao
ELM
32
2
0
07 Jul 2024
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
1