Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach.

Rumeng Li Baotian Hu Feifan Liu Weisong Liu Francesca Cunningham David D McManus Hong Yu

Published in: JMIR medical informatics (2019)

By incorporating a supervised CNN model and a pretrained unsupervised BiLSTM autoencoder, the HCLA achieved high performance in detecting bleeding events.

Keyphrases

convolutional neural network
deep learning
electronic health record
neural network
machine learning
atrial fibrillation
clinical decision support
artificial intelligence
adverse drug
loop mediated isothermal amplification
label free