Jae Bin Lee, Sang-Cheol Kim, Ju-Hee Lee, Hye-Yeong Jo. A prognostic model for classification of COVID-19 severity based on clinical and laboratory testing data. In Hyeran Byun, Beng Chin Ooi, Katsumi Tanaka, Sang-Won Lee 0001, Zhixu Li, Akiyo Nadamoto, Giltae Song, Young-Guk Ha, Kazutoshi Sumiya, Yuncheng Wu, Hyuk-Yoon Kwon, Takehiro Yamamoto, editors, IEEE International Conference on Big Data and Smart Computing, BigComp 2023, Jeju, Republic of Korea, February 13-16, 2023. pages 356-357, IEEE, 2023. [doi]
@inproceedings{LeeKLJ23-0,
title = {A prognostic model for classification of COVID-19 severity based on clinical and laboratory testing data},
author = {Jae Bin Lee and Sang-Cheol Kim and Ju-Hee Lee and Hye-Yeong Jo},
year = {2023},
doi = {10.1109/BigComp57234.2023.00081},
url = {https://doi.org/10.1109/BigComp57234.2023.00081},
researchr = {https://researchr.org/publication/LeeKLJ23-0},
cites = {0},
citedby = {0},
pages = {356-357},
booktitle = {IEEE International Conference on Big Data and Smart Computing, BigComp 2023, Jeju, Republic of Korea, February 13-16, 2023},
editor = {Hyeran Byun and Beng Chin Ooi and Katsumi Tanaka and Sang-Won Lee 0001 and Zhixu Li and Akiyo Nadamoto and Giltae Song and Young-Guk Ha and Kazutoshi Sumiya and Yuncheng Wu and Hyuk-Yoon Kwon and Takehiro Yamamoto},
publisher = {IEEE},
isbn = {978-1-6654-7578-5},
}