Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation

Kexin Huang, Abhishek Singh, Sitong Chen, Edward T. Moseley, Chih-ying Deng +2 more
12/27/2019
cs.CLcs.LG

Official code: lindvalllab/clinicalXLNet (52 stars, last commit 2021-08-12).

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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Code Implementations(1)

lindvalllab/clinicalXLNetOfficial100%

Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation

5215Python, Jupyter NotebookSep 24, 20195 years ago
clinical-nlppmv-predictionxlnet

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Cite this paper

@article{huang2019clinical,
  title  = {Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation},
  author = {Kexin Huang and Abhishek Singh and Sitong Chen and Edward T. Moseley and Chih-ying Deng and Naomi George and Charlotta Lindvall},
  year   = {2019},
  eprint = {1912.11975},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1912.11975}
}

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