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

30 October 2023

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
A Clarification of the Nuances in the Fairness Metrics Landscape Alessandro Castelnovo Riccardo Crupi Greta Greco D. Regoli Ilaria Giuseppina Penco A. Cosentini FaML 31 185 0 01 Jun 2021
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems Farzaneh Khoshnevisan Min Chi OOD 22 13 0 26 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 81 625 0 04 Oct 2020
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making S. Aghaei Javad Azizi P. Vayanos FaML 30 177 0 25 Mar 2019
Enhancing the Accuracy and Fairness of Human Decision Making Isabel Valera Adish Singla Manuel Gomez Rodriguez 97 35 0 25 May 2018
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 129 1,978 0 11 Dec 2014