Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts.
Yaliang Li|Nan Du|Chaochun Liu|Yusheng Xie|Wei Fan|Qi Li|Jing Gao|Huan Sun
| Anthology ID: | DBLP:conf/wsdm/LiDLXFLGS17 |
|---|---|
| Volume: | Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017 |
| Year: | 2017 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 253-261 |
| URL: | https://doi.org/10.1145/3018661.3018688 |
| DOI: | https://doi.org/10.1145/3018661.3018688 |
| DBLP: | conf/wsdm/LiDLXFLGS17 |
| BibTeX: |
@inproceedings{li-2017-reliable,
author = {Yaliang Li and
Nan Du and
Chaochun Liu and
Yusheng Xie and
Wei Fan and
Qi Li and
Jing Gao and
Huan Sun},
editor = {Maarten de Rijke and
Milad Shokouhi and
Andrew Tomkins and
Min Zhang},
title = {{Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts}},
booktitle = {{Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017}},
pages = {253--261},
publisher = {ACM},
year = {2017},
url = {https://doi.org/10.1145/3018661.3018688},
doi = {https://doi.org/10.1145/3018661.3018688}
}