Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation.

Jialun Wu|Buyue Qian|Yang Li|Zeyu Gao|Meizhi Ju|Yifan Yang|Yefeng Zheng|Tieliang Gong|Chen Li|Xianli Zhang


Anthology ID:DBLP:conf/cikm/WuQLGJY0G0Z22
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:2169-2178
URL:https://doi.org/10.1145/3511808.3557380
DOI:https://doi.org/10.1145/3511808.3557380
DBLP:conf/cikm/WuQLGJY0G0Z22
BibTeX:
@inproceedings{wu-2022-leveraging, author = {Jialun Wu and Buyue Qian and Yang Li and Zeyu Gao and Meizhi Ju and Yifan Yang and Yefeng Zheng and Tieliang Gong and Chen Li and Xianli Zhang}, editor = {Mohammad Al Hasan and Li Xiong}, title = {{Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation}}, booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}}, pages = {2169--2178}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3511808.3557380}, doi = {https://doi.org/10.1145/3511808.3557380} }