Work

Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases

Year: 2024

Type: article

Source: Journal of Biomedical Informatics

DOI: 10.1016/j.jbi.2024.104677

Authors: Yifei Wang, Liqin Wang, Zhengyang Zhou, John Laurentiev, Joshua R. Lakin, Li Zhou, Pengyu Hong

Institutions: Brandeis University, Brigham and Women's Hospital, Harvard University, Dana-Farber Cancer Institute, Dana-Farber Brigham Cancer Center

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDGs: Reduced inequalities, Good health and well-being

Open Access status: bronze

Funders: National Institutes of Health, U.S. National Library of Medicine

Award: Identifying and addressing missingness and bias to enhance discovery from multimodal health data

OpenAlex ID: W4399628959

FWCI: 6.121

Cites: 45

Cited by: 19

Related to: 10