Shinji Tarumi, Mayumi Suzuki, Hanae Yoshida, Shoko Miyauchi, Ryo Kurazume. Personalized Federated Learning for Institutional Prediction Model using Electronic Health Records: A Covariate Adjustment Approach. In 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2023, Sydney, Australia, July 24-27, 2023. pages 1-4, IEEE, 2023. [doi]
@inproceedings{TarumiSYMK23,
title = {Personalized Federated Learning for Institutional Prediction Model using Electronic Health Records: A Covariate Adjustment Approach},
author = {Shinji Tarumi and Mayumi Suzuki and Hanae Yoshida and Shoko Miyauchi and Ryo Kurazume},
year = {2023},
doi = {10.1109/EMBC40787.2023.10339940},
url = {https://doi.org/10.1109/EMBC40787.2023.10339940},
researchr = {https://researchr.org/publication/TarumiSYMK23},
cites = {0},
citedby = {0},
pages = {1-4},
booktitle = {45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2023, Sydney, Australia, July 24-27, 2023},
publisher = {IEEE},
isbn = {979-8-3503-2447-1},
}