Towards Better Diagnosis Prediction Using Bidirectional Recurrent Neural Networks
Junghwan Lee, Cong Liu, Casey Ta, Chunhua Weng · Studies in health technology and informatics · 2022
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.