Work

Fair Machine Learning in Healthcare: A Survey

Year: 2024

Type: article

Source: IEEE Transactions on Artificial Intelligence

DOI: 10.1109/tai.2024.3361836

Authors: Qizhang Feng, Mengnan Du, Na Zou, Xia Hu

Institutions: Texas A&M University, New Jersey Institute of Technology, University of Houston, Rice University

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Reduced inequalities

Open Access status: closed

Funders: National Science Foundation, National Institutes of Health

Awards: CAREER: Exploring and Exploiting Data-Centric Modeling for Fairness in Machine Learning, FAI: Towards Fairness in Deep Neural Networks with Learning Interpretation, III: Medium: Collaborative Research: Towards Effective Interpretation of Deep Learning: Prediction, Representation, Modeling and Utilization, G9000112157

OpenAlex ID: W4402978077

FWCI: 4.887

Cites: 131

Cited by: 12

Related to: 10