MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data.
Yang Deng|Yaliang Li|Ying Shen|Nan Du|Wei Fan|Min Yang|Kai Lei
| Anthology ID: | DBLP:conf/cikm/DengLSDFYL19 |
|---|---|
| Volume: | Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019. |
| Year: | 2019 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 719-728 |
| URL: | https://doi.org/10.1145/3357384.3357934 |
| DOI: | https://doi.org/10.1145/3357384.3357934 |
| DBLP: | conf/cikm/DengLSDFYL19 |
| BibTeX: |
@inproceedings{deng-2019-medtruth,
author = {Yang Deng and
Yaliang Li and
Ying Shen and
Nan Du and
Wei Fan and
Min Yang and
Kai Lei},
editor = {Wenwu Zhu and
Dacheng Tao and
Xueqi Cheng and
Peng Cui and
Elke A. Rundensteiner and
David Carmel and
Qi He and
Jeffrey Xu Yu},
title = {{MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data}},
booktitle = {{Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019}},
pages = {719--728},
publisher = {ACM},
year = {2019},
url = {https://doi.org/10.1145/3357384.3357934},
doi = {https://doi.org/10.1145/3357384.3357934}
}