srBERT: automatic article classification model for systematic review using BERT.

Journal: Systematic reviews
Published Date:

Abstract

BACKGROUND: Systematic reviews (SRs) are recognized as reliable evidence, which enables evidence-based medicine to be applied to clinical practice. However, owing to the significant efforts required for an SR, its creation is time-consuming, which often leads to out-of-date results. To support SR tasks, tools for automating these SR tasks have been considered; however, applying a general natural language processing model to domain-specific articles and insufficient text data for training poses challenges.

Authors

  • Sungmin Aum
    Institute of Science and Technology (KIST), 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul, Republic of Korea. aum.sung@gmail.com.
  • Seon Choe
    Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul National University Biomedical Informatics (SNUBI), Seoul, 03080, South Korea.