EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation.
Yinghao Zhu|Changyu Ren|Zixiang Wang|Xiaochen Zheng|Shiyun Xie|Junlan Feng|Xi Zhu|Zhoujun Li|Liantao Ma|Chengwei Pan
| Anthology ID: | DBLP:conf/cikm/ZhuRWZXFZ0MP24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3549-3559 |
| URL: | https://doi.org/10.1145/3627673.3679582 |
| DOI: | https://doi.org/10.1145/3627673.3679582 |
| DBLP: | conf/cikm/ZhuRWZXFZ0MP24 |
| BibTeX: |
@inproceedings{zhu-2024-emerge,
author = {Yinghao Zhu and
Changyu Ren and
Zixiang Wang and
Xiaochen Zheng and
Shiyun Xie and
Junlan Feng and
Xi Zhu and
Zhoujun Li and
Liantao Ma and
Chengwei Pan},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {3549--3559},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679582},
doi = {https://doi.org/10.1145/3627673.3679582}
}