MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models.
Phan Nguyen Minh Thao|Cong-Tinh Dao|Chenwei Wu|Jian-Zhe Wang|Shun Liu|Jun-En Ding|David S. Restrepo|Feng Liu|Fang-Ming Hung|Wen-Chih Peng
| Anthology ID: | DBLP:conf/cikm/ThaoD0WLDR0HP24 |
|---|---|
| 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: | 3974-3978 |
| URL: | https://doi.org/10.1145/3627673.3679962 |
| DOI: | https://doi.org/10.1145/3627673.3679962 |
| DBLP: | conf/cikm/ThaoD0WLDR0HP24 |
| BibTeX: |
@inproceedings{thao-2024-medfuse,
author = {Phan Nguyen Minh Thao and
Cong-Tinh Dao and
Chenwei Wu and
Jian-Zhe Wang and
Shun Liu and
Jun-En Ding and
David S. Restrepo and
Feng Liu and
Fang-Ming Hung and
Wen-Chih Peng},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {3974--3978},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679962},
doi = {https://doi.org/10.1145/3627673.3679962}
}