Time Series Analysis of Nursing Notes for Mortality Prediction via a State Transition Topic Model.
Yohan Jo|Natasha Loghmanpour|Carolyn P. Rosé
| Anthology ID: | DBLP:conf/cikm/JoLR15 |
|---|---|
| Volume: | Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015 |
| Year: | 2015 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1171-1180 |
| URL: | https://doi.org/10.1145/2806416.2806541 |
| DOI: | https://doi.org/10.1145/2806416.2806541 |
| DBLP: | conf/cikm/JoLR15 |
| BibTeX: |
@inproceedings{jo-2015-time,
author = {Yohan Jo and
Natasha Loghmanpour and
Carolyn P. Ros\'{e}},
editor = {James Bailey and
Alistair Moffat and
Charu C. Aggarwal and
Maarten de Rijke and
Ravi Kumar and
Vanessa Murdock and
Timos K. Sellis and
Jeffrey Xu Yu},
title = {{Time Series Analysis of Nursing Notes for Mortality Prediction via a State Transition Topic Model}},
booktitle = {{Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015}},
pages = {1171--1180},
publisher = {ACM},
year = {2015},
url = {https://doi.org/10.1145/2806416.2806541},
doi = {https://doi.org/10.1145/2806416.2806541}
}