Christian Haudenschild, Louis J. Vaickus, Joshua J. Levy. Configuring a federated network of real-world patient health data for multimodal deep learning prediction of health outcomes. In Jiman Hong, Miroslav Bures, Juw Won Park, Tomás Cerný, editors, SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25 - 29, 2022. pages 627-635, ACM, 2022. [doi]
@inproceedings{HaudenschildVL22,
title = {Configuring a federated network of real-world patient health data for multimodal deep learning prediction of health outcomes},
author = {Christian Haudenschild and Louis J. Vaickus and Joshua J. Levy},
year = {2022},
doi = {10.1145/3477314.3507007},
url = {https://doi.org/10.1145/3477314.3507007},
researchr = {https://researchr.org/publication/HaudenschildVL22},
cites = {0},
citedby = {0},
pages = {627-635},
booktitle = {SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25 - 29, 2022},
editor = {Jiman Hong and Miroslav Bures and Juw Won Park and Tomás Cerný},
publisher = {ACM},
isbn = {978-1-4503-8713-2},
}