Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks.
Hanyang Liu|Michael Montana|Dingwen Li|Chase Renfroe|Thomas George Kannampallil|Chenyang Lu
| Anthology ID: | DBLP:conf/cikm/LiuMLRK022 |
|---|---|
| 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: | 1269-1278 |
| URL: | https://doi.org/10.1145/3511808.3557420 |
| DOI: | https://doi.org/10.1145/3511808.3557420 |
| DBLP: | conf/cikm/LiuMLRK022 |
| BibTeX: |
@inproceedings{liu-2022-predicting,
author = {Hanyang Liu and
Michael Montana and
Dingwen Li and
Chase Renfroe and
Thomas George Kannampallil and
Chenyang Lu},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {1269--1278},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557420},
doi = {https://doi.org/10.1145/3511808.3557420}
}