Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness

13 August 2022

Papers citing "Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness"

27 / 27 papers shown

Title
Prediction Models That Learn to Avoid Missing Values Lena Stempfle Anton Matsson Newton Mwai Fredrik D. Johansson 141 0 0 06 May 2025
Learning from data with structured missingness R. Mitra Sarah F. McGough Tapabrata (Rohan) Chakraborty Chris Holmes Ryan Copping ... M. Mackintosh E. Andrinopoulou A. Basiri Chris Harbron Ben D. MacArthur CML 57 48 0 04 Apr 2023
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift Vincent Jeanselme G. Martin Niels Peek M. Sperrin Brian D. M. Tom Jessica Barrett OOD 48 4 0 26 May 2022
Improving the Fairness of Chest X-ray Classifiers Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen Pfohl Marzyeh Ghassemi 43 66 0 23 Mar 2022
Assessing Fairness in the Presence of Missing Data Yiliang Zhang Q. Long FaML 46 35 0 07 Dec 2021
Fairness in Missing Data Imputation Yiliang Zhang Q. Long 59 13 0 22 Oct 2021
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 106 47 0 01 Oct 2021
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values Haewon Jeong Hao Wang Flavio du Pin Calmon FaML 70 33 0 21 Sep 2021
Ethical Machine Learning in Health Care Irene Y. Chen Emma Pierson Sherri Rose Shalmali Joshi Kadija Ferryman Marzyeh Ghassemi AILaw 61 386 0 22 Sep 2020
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings H. Zhang Amy X. Lu Mohamed Abdalla Matthew B. A. McDermott Marzyeh Ghassemi 55 174 0 11 Mar 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers Laleh Seyyed-Kalantari Guanxiong Liu Matthew B. A. McDermott Irene Y. Chen Marzyeh Ghassemi OOD 83 291 0 14 Feb 2020
The Challenge of Imputation in Explainable Artificial Intelligence Models M. Ahmad C. Eckert Ankur Teredesai 15 8 0 29 Jul 2019
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III Shirly Wang Matthew B. A. McDermott Geeticka Chauhan Michael C. Hughes Tristan Naumann Marzyeh Ghassemi 65 209 0 19 Jul 2019
Fairness and Missing Values Fernando Martínez-Plumed Cesar Ferri David Nieves José Hernández-Orallo 61 28 0 29 May 2019
Imputation of Clinical Covariates in Time Series Dimitris Bertsimas Agni Orfanoudaki C. Pawlowski 42 33 0 02 Dec 2018
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift Stephan Rabanser Stephan Günnemann Zachary Chase Lipton 54 367 0 29 Oct 2018
Model Cards for Model Reporting Margaret Mitchell Simone Wu Andrew Zaldivar Parker Barnes Lucy Vasserman Ben Hutchinson Elena Spitzer Inioluwa Deborah Raji Timnit Gebru 123 1,891 0 05 Oct 2018
Active Fairness in Algorithmic Decision Making Alejandro Noriega-Campero Michiel A. Bakker Bernardo Garcia-Bulle Alex Pentland FaML 52 85 0 28 Sep 2018
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk Stephen Pfohl Ben J. Marafino Adrien Coulet F. Rodriguez L. Palaniappan N. Shah 50 66 0 12 Sep 2018
A Review of Challenges and Opportunities in Machine Learning for Health Marzyeh Ghassemi Tristan Naumann Peter F. Schulam Andrew L. Beam Irene Y. Chen Rajesh Ranganath 62 267 0 01 Jun 2018
Why Is My Classifier Discriminatory? Irene Y. Chen Fredrik D. Johansson David Sontag FaML 68 396 0 30 May 2018
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 258 2,178 0 23 Mar 2018
Fair Inference On Outcomes Razieh Nabi I. Shpitser FaML 52 351 0 29 May 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 215 1,577 0 20 Mar 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 297 2,109 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 220 4,307 0 07 Oct 2016
Modeling Missing Data in Clinical Time Series with RNNs Zachary Chase Lipton David C. Kale R. Wetzel AI4TS 57 229 0 13 Jun 2016