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In the Name of Fairness: Assessing the Bias in Clinical Record
  De-identification

In the Name of Fairness: Assessing the Bias in Clinical Record De-identification

18 May 2023
Yuxin Xiao
S. Lim
Tom Pollard
Marzyeh Ghassemi
ArXivPDFHTML

Papers citing "In the Name of Fairness: Assessing the Bias in Clinical Record De-identification"

5 / 5 papers shown
Title
To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling
To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling
S. Rutherford
T. Wolfers
Charlotte J. Fraza
Nathaniel G. Harrnet
Christian F. Beckmann
H. Ruhé
A. Marquand
CML
56
2
0
26 Jul 2024
Stanza: A Python Natural Language Processing Toolkit for Many Human
  Languages
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi
Yuhao Zhang
Yuhui Zhang
Jason Bolton
Christopher D. Manning
AI4TS
199
1,653
0
16 Mar 2020
Demographic Bias in Biometrics: A Survey on an Emerging Challenge
Demographic Bias in Biometrics: A Survey on an Emerging Challenge
P. Drozdowski
Christian Rathgeb
A. Dantcheva
N. Damer
C. Busch
FaML
125
200
0
05 Mar 2020
Secure and Robust Machine Learning for Healthcare: A Survey
Secure and Robust Machine Learning for Healthcare: A Survey
A. Qayyum
Junaid Qadir
Muhammad Bilal
Ala I. Al-Fuqaha
AAML
OOD
34
374
0
21 Jan 2020
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
305
4,203
0
23 Aug 2019
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