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Improving Fairness in AI Models on Electronic Health Records: The Case
  for Federated Learning Methods

Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods

19 May 2023
Raphael Poulain
Mirza Farhan Bin Tarek
Rahmatollah Beheshti
    FedML
ArXivPDFHTML

Papers citing "Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods"

12 / 12 papers shown
Title
FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk
FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk
Tianyu Zhao
Mahmoud Srewa
Salma Elmalaki
85
1
0
25 Feb 2025
Aligning (Medical) LLMs for (Counterfactual) Fairness
Aligning (Medical) LLMs for (Counterfactual) Fairness
Raphael Poulain
Hamed Fayyaz
Rahmatollah Beheshti
29
3
0
22 Aug 2024
AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI
AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI
Kaveen Hiniduma
Suren Byna
J. L. Bez
Ravi Madduri
32
5
0
27 Jun 2024
Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream
  Predictive Tasks
Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks
Mirza Farhan Bin Tarek
Raphael Poulain
Rahmatollah Beheshti
SyDa
29
0
0
04 Jun 2024
Bias patterns in the application of LLMs for clinical decision support:
  A comprehensive study
Bias patterns in the application of LLMs for clinical decision support: A comprehensive study
Raphael Poulain
Hamed Fayyaz
Rahmatollah Beheshti
26
16
0
23 Apr 2024
HealthGAT: Node Classifications in Electronic Health Records using Graph
  Attention Networks
HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks
Fahmida Liza Piya
Mehak Gupta
Rahmatollah Beheshti
29
1
0
26 Mar 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey
The Pursuit of Fairness in Artificial Intelligence Models: A Survey
Tahsin Alamgir Kheya
Mohamed Reda Bouadjenek
Sunil Aryal
21
8
0
26 Mar 2024
NLP for Maternal Healthcare: Perspectives and Guiding Principles in the
  Age of LLMs
NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs
Maria Antoniak
Aakanksha Naik
Carla S. Alvarado
Lucy Lu Wang
Irene Y. Chen
AILaw
16
14
0
19 Dec 2023
Leveraging Generative AI for Clinical Evidence Summarization Needs to
  Ensure Trustworthiness
Leveraging Generative AI for Clinical Evidence Summarization Needs to Ensure Trustworthiness
Gongbo Zhang
Qiao Jin
Denis Jered McInerney
Yong Chen
Fei Wang
...
Mor Peleg
Byron C. Wallace
Zhiyong Lu
Chunhua Weng
Yifan Peng
28
18
0
19 Nov 2023
Mitigating Group Bias in Federated Learning for Heterogeneous Devices
Mitigating Group Bias in Federated Learning for Heterogeneous Devices
Khotso Selialia
Yasra Chandio
Fatima M. Anwar
FedML
20
2
0
13 Sep 2023
Algorithm Fairness in AI for Medicine and Healthcare
Algorithm Fairness in AI for Medicine and Healthcare
Richard J. Chen
Tiffany Y. Chen
Jana Lipkova
Judy J. Wang
Drew F. K. Williamson
Ming Y. Lu
S. Sahai
Faisal Mahmood
FaML
66
44
0
01 Oct 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
294
4,187
0
23 Aug 2019
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