Predicting pregnancy using large-scale datafrom a women's health tracking mobile application.
Bo Liu|Shuyang Shi|Yongshang Wu|Daniel Thomas|Laura Symul|Emma Pierson|Jure Leskovec
| Anthology ID: | DBLP:conf/www/LiuSWTSPL19 |
|---|---|
| Volume: | The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019 |
| Year: | 2019 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2999-3005 |
| URL: | https://doi.org/10.1145/3308558.3313512 |
| DOI: | https://doi.org/10.1145/3308558.3313512 |
| DBLP: | conf/www/LiuSWTSPL19 |
| BibTeX: |
@inproceedings{liu-2019-predicting,
author = {Bo Liu and
Shuyang Shi and
Yongshang Wu and
Daniel Thomas and
Laura Symul and
Emma Pierson and
Jure Leskovec},
editor = {Ling Liu and
Ryen W. White and
Amin Mantrach and
Fabrizio Silvestri and
Julian J. McAuley and
Ricardo Baeza-Yates and
Leila Zia},
title = {{Predicting pregnancy using large-scale datafrom a women's health tracking mobile application}},
booktitle = {{The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019}},
pages = {2999--3005},
publisher = {ACM},
year = {2019},
url = {https://doi.org/10.1145/3308558.3313512},
doi = {https://doi.org/10.1145/3308558.3313512}
}