@article{journals/hisas/HuangWKTCCCCTCLCPW23,
added-at = {2023-11-01T00:00:00.000+0100},
author = {Huang, Chun-Te and Wang, Tsai-Jung and Kuo, Li-Kuo and Tsai, Ming-Ju and Cia, Cong-Tat and Chiang, Dung-Hung and Chang, Po-Jen and Chong, Inn-Wen and Tsai, Yi-Shan and Chu, Yuan-Chia and Liu, Chia-Jen and Chen, Cheng-Hsu and Pai, Kai-Chih and Wu, Chieh-Liang},
biburl = {https://www.bibsonomy.org/bibtex/2602c674cf6b584f3208e94e69c8d5435/dblp},
ee = {https://doi.org/10.1007/s13755-023-00248-5},
interhash = {a0da1b6cecee2acfd0244d82ac85d40c},
intrahash = {602c674cf6b584f3208e94e69c8d5435},
journal = {Health Inf. Sci. Syst.},
keywords = {dblp},
month = {December},
number = 1,
pages = 48,
timestamp = {2024-04-09T02:39:22.000+0200},
title = {Federated machine learning for predicting acute kidney injury in critically ill patients: a multicenter study in Taiwan.},
url = {http://dblp.uni-trier.de/db/journals/hisas/hisas11.html#HuangWKTCCCCTCLCPW23},
volume = 11,
year = 2023
}