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Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting.

Junetae KimSangwon LeeEugene HwangKwang Sun RyuHanseok JeongJae Wook LeeYul HwangboKui Son ChoiHyo Soung Cha
Published in: Journal of medical Internet research (2020)
The attention mechanism is an attractive technique with potential to be very promising in the future. However, it may not yet be desirable to rely on this method to assess variable importance in clinical settings. Therefore, along with theoretical studies enhancing attention mechanisms, more empirical studies investigating potential limitations should be encouraged.
Keyphrases
  • working memory
  • deep learning
  • case control
  • type diabetes
  • human health
  • machine learning
  • current status