• DOI:10.18653/v1/2020.bionlp-1.9
Corpus ID: 218628585

Comparative Analysis of Text Classification Approaches in Electronic Health Records

@inproceedings{Mascio2020ComparativeAO,
  title={Comparative Analysis of Text Classification Approaches in Electronic Health Records},
  author={Aurelie Mascio and Željko Kraljevi{\'c} and D. Bean and R. Dobson and R. Stewart and R. Bendayan and A. Roberts},
  booktitle={BioNLP},
  year={2020}
}

Aurelie Mascio, Željko Kraljević, +4 authors A. Roberts

Published in BioNLP 2020

Computer Science

Text classification tasks which aim at harvesting and/or organizing information from electronic health records are pivotal to support clinical and translational research. However these present specific challenges compared to other classification tasks, notably due to the particular nature of the medical lexicon and language used in clinical records. Recent advances in embedding methods have shown promising results for several clinical tasks, yet there is no exhaustive comparison of such… CONTINUE READING

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