Recurrent Neural Networks for Early Detection of Heart Failure From Longitudinal Electronic Health Record Data

Recurrent neural networks are effective for predicting a future diagnosis of heart failure given sufficient training set size. Model performance appears to continue to improve in direct relation to training set size.