Towards Better Diagnosis Prediction Using Bidirectional Recurrent Neural Networks.

Journal: Studies in health technology and informatics
Published Date: Jun 6, 2022

Abstract

Bidirectional recurrent neural networks (RNN) improved performance of various natural language processing tasks and recently have been used for diagnosis prediction. Advantages of general bidirectional RNN, however, are not readily applied to diagnosis prediction task. In this study, we present a simple way to efficiently apply bidirectional RNN for diagnosis prediction without using any additional networks or parameters.

Authors

  • Junghwan Lee
    Department of Biomedical Informatics, Columbia University, New York, NY 10032, USA.
  • Cong Liu
    Department of Bioengineering, University of Illinois at Chicago, 851 S Morgan St, Chicago, IL, 60607, USA.
  • Casey Ta
    Department of Biomedical Informatics, Columbia University, New York, New York, USA.
  • Chunhua Weng
    Department of Biomedical Informatics, Columbia University.

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