Article

An Objective Search for Unrecognized Bias in Validated COVID-19 Prediction Models

2021-10-30

Abstract excerpt

<h4>ABSTRACT</h4> The growing recognition of algorithmic bias has spurred discussions about fairness in artificial intelligence (AI) / machine learning (ML) algorithms. The increasing translation of predictive models into clinical practice brings an increased risk of direct harm from algorithmic bias; however, bias remains incompletely measured in many medical AI applications. Using data from over 56 thousand Mass...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 8c4d4175-0ead-53ac-9853-4ca31a8525a8
DOI: 10.1101/2021.10.28.21265629

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

An Objective Search for Unrecognized Bias in Validated COVID-19 Prediction ModelsDOI 10.1101/2021.10.28.21265629Read

Algorithmic Fairness and Bias Mitigation for Clinical Machine Learning: Insights from Rapid COVID-19 Diagnosis by Adversarial LearningSemantic proximity Read

Mitigating Machine Learning Bias Between High Income and Low-Middle Income Countries for Enhanced Model Fairness and GeneralizabilitySemantic proximity Read

Operationalizing Trustworthy AI: A Scalable Framework for Granular Error Analysis and Bias Mitigation in Healthcare ModelsSemantic proximity Read

Refocusing Algorithmic Fairness on Feature-Level Bias: A Diagnostic Approach Using Dutch EHR DataSemantic proximity Read

Threat of Racial and Economic Inequality Increases Preference for Algorithm Decision-MakingSemantic proximity Read

Algorithmic Fairness and Bias Mitigation for Clinical Machine Learning: A New Utility for Deep Reinforcement LearningSemantic proximity Read

Fair machine learning models for disease prediction: In-depth interviews with key health expertsSemantic proximity Read

The Deferral Frontier: Reliability-Gated Selective Prediction for Clinical AISemantic proximity Read

FAMEWS: a Fairness Auditing tool for Medical Early-Warning SystemsSemantic proximity Read

Identify and mitigate bias in electronic phenotyping: A comprehensive study from computational perspective.Semantic proximity Read

Algorithmic Fairness of Machine Learning Models for Alzheimer’s Disease Progression PredictionSemantic proximity Read

Underdiagnosis Bias of Chest Radiograph Diagnostic AI can be Decomposed and Mitigated via Dataset Bias AttributionsSemantic proximity Read