October 1, 2019Open Access

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

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Abstract

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.

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Chen et al. (Tue,) studied this question.

synapsesocial.com/papers/69df12d0b8d7e945666144e3 https://doi.org/https://doi.org/10.1161/circoutcomes.118.005114

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