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} }