Privacy Preserving Data Imputation via Multi-Party Computation for Medical Applications
Published in IEEE International Conference on E-health Networking, Application & Services (HealthCom), 2024
This paper introduces a secure imputation pipeline leveraging multi-party computation (MPC) for handling missing medical data. The approach ensures privacy-preserving preprocessing and maintains predictive model performance in healthcare applications.
Recommended citation: Jentsch, J., Ünal, A. B., Mağara, Ş. S., & Akgün, M. (2024). Privacy Preserving Data Imputation via Multi-Party Computation for Medical Applications. In Proceedings of the 2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom) (pp. 1–6). IEEE. https://doi.org/10.1109/HealthCom60970.2024.10880795
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