Elena Alvarez-Mellado, Eben Holderness, Nicholas Miller, Fyonn Dhang, Philip Cawkwell, Kirsten Bolton, James Pustejovsky, Mei-Hua Hall. Assessing the Efficacy of Clinical Sentiment Analysis and Topic Extraction in Psychiatric Readmission Risk Prediction. In Eben Holderness, Antonio Jimeno-Yepes, Alberto Lavelli, Anne-Lyse Minard, James Pustejovsky, Fabio Rinaldi 0001, editors, Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, Hong Kong, November 3, 2019. pages 81-86, Association for Computational Linguistics, 2019. [doi]
@inproceedings{Alvarez-Mellado19,
title = {Assessing the Efficacy of Clinical Sentiment Analysis and Topic Extraction in Psychiatric Readmission Risk Prediction},
author = {Elena Alvarez-Mellado and Eben Holderness and Nicholas Miller and Fyonn Dhang and Philip Cawkwell and Kirsten Bolton and James Pustejovsky and Mei-Hua Hall},
year = {2019},
doi = {10.18653/v1/D19-6211},
url = {https://doi.org/10.18653/v1/D19-6211},
researchr = {https://researchr.org/publication/Alvarez-Mellado19},
cites = {0},
citedby = {0},
pages = {81-86},
booktitle = {Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, Hong Kong, November 3, 2019},
editor = {Eben Holderness and Antonio Jimeno-Yepes and Alberto Lavelli and Anne-Lyse Minard and James Pustejovsky and Fabio Rinaldi 0001},
publisher = {Association for Computational Linguistics},
isbn = {978-1-950737-77-2},
}