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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    References

    SHOWING 1-10 OF 33 REFERENCES
    Clinical text classification research trends: Systematic literature review and open issues
    • 22
    Viewpoint Paper: Identifying Patient Smoking Status from Medical Discharge Records
    • 291
    • PDF
    Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks
    • Liang Yao, Chengsheng Mao, Yuan Luo
    • Computer Science
    • 2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI-W)
    • 2018
    • 32
    • Highly Influential
    • PDF
    Enhancing Clinical Concept Extraction with Contextual Embedding
    • 80
    • PDF
    Family member information extraction via neural sequence labeling models with different tag schemes
    • Hong-Jie Dai
    • Computer Science, Medicine
    • BMC Medical Informatics and Decision Making
    • 2019
    • 5
    MedCAT - Medical Concept Annotation Tool
    • 5
    • PDF
    Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review
    • 43
    BioBERT: a pre-trained biomedical language representation model for biomedical text mining
    • 756
    • PDF
    Clinical information extraction applications: A literature review
    • Yanshan Wang, Liwei Wang, +8 authors H. Liu
    • Computer Science, Medicine
    • J. Biomed. Informatics
    • 2018
    • 235
    • PDF
    ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing
    • 130
    • Highly Influential
    • PDF