pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data.

Junyu Luo|Cheng Qian|Xiaochen Wang|Lucas Glass|Fenglong Ma


Anthology ID:DBLP:conf/cikm/LuoQWGM23
Volume:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
Year:2023
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:4724-4730
URL:https://doi.org/10.1145/3583780.3615490
DOI:https://doi.org/10.1145/3583780.3615490
DBLP:conf/cikm/LuoQWGM23
BibTeX:
@inproceedings{luo-2023-padr, author = {Junyu Luo and Cheng Qian and Xiaochen Wang and Lucas Glass and Fenglong Ma}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {4724--4730}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3615490}, doi = {https://doi.org/10.1145/3583780.3615490} }