Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation
December 27, 2019 ยท Declared Dead ยท ๐ Clinical Natural Language Processing Workshop
"No code URL or promise found in abstract"
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Authors
Kexin Huang, Abhishek Singh, Sitong Chen, Edward T. Moseley, Chih-ying Deng, Naomi George, Charlotta Lindvall
arXiv ID
1912.11975
Category
cs.CL: Computation & Language
Cross-listed
cs.LG
Citations
64
Venue
Clinical Natural Language Processing Workshop
Last Checked
4 months ago
Abstract
Clinical notes contain rich data, which is unexploited in predictive modeling compared to structured data. In this work, we developed a new text representation Clinical XLNet for clinical notes which also leverages the temporal information of the sequence of the notes. We evaluated our models on prolonged mechanical ventilation prediction problem and our experiments demonstrated that Clinical XLNet outperforms the best baselines consistently.
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