ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons.

Junyu Luo|Zhi Qiao|Lucas Glass|Cao Xiao|Fenglong Ma


Anthology ID:DBLP:conf/cikm/Luo0GXM23
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:5356-5360
URL:https://doi.org/10.1145/3583780.3615113
DOI:https://doi.org/10.1145/3583780.3615113
DBLP:conf/cikm/Luo0GXM23
BibTeX:
@inproceedings{luo-2023-clinicalrisk, author = {Junyu Luo and Zhi Qiao and Lucas Glass and Cao Xiao 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 = {{ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {5356--5360}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3615113}, doi = {https://doi.org/10.1145/3583780.3615113} }