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AI-Driven Healthcare: A Review on Ensuring Fairness and Mitigating Bias

AI-Driven Healthcare: A Review on Ensuring Fairness and Mitigating Bias

29 July 2024
Sribala Vidyadhari Chinta
Zichong Wang
Xingyu Zhang
Thang Doan Viet
A. Kashif
Monique Antoinette Smith
Jun Liu
W. Zhang
ArXivPDFHTML

Papers citing "AI-Driven Healthcare: A Review on Ensuring Fairness and Mitigating Bias"

6 / 6 papers shown
Title
Never trust, always verify : a roadmap for Trustworthy AI?
Never trust, always verify : a roadmap for Trustworthy AI?
L. Tidjon
Foutse Khomh
29
15
0
23 Jun 2022
Incremental Mining of Frequent Serial Episodes Considering Multiple
  Occurrences
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences
Thomas Guyet
Wenbin Zhang
Albert Bifet
AI4TS
34
8
0
27 Jan 2022
Interpretable Visual Understanding with Cognitive Attention Network
Interpretable Visual Understanding with Cognitive Attention Network
Xuejiao Tang
Wenbin Zhang
Yi Yu
Kea Turner
Tyler Derr
Mengyu Wang
Eirini Ntoutsi
42
12
0
06 Aug 2021
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
286
4,143
0
23 Aug 2019
A statistical framework for fair predictive algorithms
A statistical framework for fair predictive algorithms
K. Lum
J. Johndrow
FaML
165
103
0
25 Oct 2016
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
154
25,150
0
09 Jun 2011
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