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

December 27, 2019 ยท Declared Dead ยท ๐Ÿ› Clinical Natural Language Processing Workshop

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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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