FairFML: fair federated machine learning with a case study on reducing gender disparities in cardiac arrest outcome prediction
Publication
, Journal Article
Li, S; Wu, Q; Zhou, D; Li, X; Miao, D; Hong, C; Gu, W; Shang, Y; Okada, Y; Chen, MH; Yan, M; Ning, Y; Ong, MEH; Liu, N
Published in: npj Health Systems
August 12, 2025
Duke Scholars
Published In
npj Health Systems
DOI
EISSN
3005-1959
Publication Date
August 12, 2025
Volume
2
Issue
1
Publisher
Springer Science and Business Media LLC
Citation
APA
Chicago
ICMJE
MLA
NLM
Li, S., Wu, Q., Zhou, D., Li, X., Miao, D., Hong, C., … Liu, N. (2025). FairFML: fair federated machine learning with a case study on reducing gender disparities in cardiac arrest outcome prediction. Npj Health Systems, 2(1). https://doi.org/10.1038/s44401-025-00035-2
Li, Siqi, Qiming Wu, Doudou Zhou, Xin Li, Di Miao, Chuan Hong, Wenjun Gu, et al. “FairFML: fair federated machine learning with a case study on reducing gender disparities in cardiac arrest outcome prediction.” Npj Health Systems 2, no. 1 (August 12, 2025). https://doi.org/10.1038/s44401-025-00035-2.
Li S, Wu Q, Zhou D, Li X, Miao D, Hong C, et al. FairFML: fair federated machine learning with a case study on reducing gender disparities in cardiac arrest outcome prediction. npj Health Systems. 2025 Aug 12;2(1).
Li, Siqi, et al. “FairFML: fair federated machine learning with a case study on reducing gender disparities in cardiac arrest outcome prediction.” Npj Health Systems, vol. 2, no. 1, Springer Science and Business Media LLC, Aug. 2025. Crossref, doi:10.1038/s44401-025-00035-2.
Li S, Wu Q, Zhou D, Li X, Miao D, Hong C, Gu W, Shang Y, Okada Y, Chen MH, Yan M, Ning Y, Ong MEH, Liu N. FairFML: fair federated machine learning with a case study on reducing gender disparities in cardiac arrest outcome prediction. npj Health Systems. Springer Science and Business Media LLC; 2025 Aug 12;2(1).
Published In
npj Health Systems
DOI
EISSN
3005-1959
Publication Date
August 12, 2025
Volume
2
Issue
1
Publisher
Springer Science and Business Media LLC