FMLCA: explainable and privacy-preserving federated machine learning classification algorithms for predicting heart disease in patients
- DOI
- 10.1186/s40001-026-04023-6
- Published
- 2026-02-12
- Container
- European Journal of Medical Research
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s40001-026-04023-6,
title = {FMLCA: explainable and privacy-preserving federated machine learning classification algorithms for predicting heart disease in patients},
author = {Amir Sorayaie Azar and Fardin Gholami and Leila Sharifi and Asghar Asl Asgharian Sardroud and Jamshid Bagherzadeh Mohasefi and Uffe Kock Wiil},
year = {2026},
journal = {European Journal of Medical Research},
doi = {10.1186/s40001-026-04023-6},
url = {https://doi.org/10.1186/s40001-026-04023-6}
}RIS
TY - JOUR TI - FMLCA: explainable and privacy-preserving federated machine learning classification algorithms for predicting heart disease in patients AU - Amir Sorayaie Azar AU - Fardin Gholami AU - Leila Sharifi AU - Asghar Asl Asgharian Sardroud AU - Jamshid Bagherzadeh Mohasefi AU - Uffe Kock Wiil PY - 2026 JO - European Journal of Medical Research DO - 10.1186/s40001-026-04023-6 UR - https://doi.org/10.1186/s40001-026-04023-6 ER -
APA
Azar, A. S., Gholami, F., Sharifi, L., Sardroud, A. A. A., Mohasefi, J. B., & Wiil, U. K. (2026). FMLCA: explainable and privacy-preserving federated machine learning classification algorithms for predicting heart disease in patients. European Journal of Medical Research. https://doi.org/10.1186/s40001-026-04023-6
Source records
- crossref · retrieved 2026-09-25T12:37:41.709Z