Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units.
Derun Cai|Moxian Song|Chenxi Sun|Baofeng Zhang|Shenda Hong|Hongyan Li
| Anthology ID: | DBLP:conf/cikm/CaiSSZH022 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3843-3847 |
| URL: | https://doi.org/10.1145/3511808.3557578 |
| DOI: | https://doi.org/10.1145/3511808.3557578 |
| DBLP: | conf/cikm/CaiSSZH022 |
| BibTeX: |
@inproceedings{cai-2022-deep,
author = {Derun Cai and
Moxian Song and
Chenxi Sun and
Baofeng Zhang and
Shenda Hong and
Hongyan Li},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {3843--3847},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557578},
doi = {https://doi.org/10.1145/3511808.3557578}
}