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arXiv · 1510.07641

Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks

Zachary C. Lipton·David C. Kale·Randall C. Wetzel
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Abstract

We present a novel application of LSTM recurrent neural networks to multilabel classification of diagnoses given variable-length time series of clinical measurements. Our method outperforms a strong baseline on a variety of metrics.

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Zachary C. Lipton, David C. Kale, Randall C. Wetzel. 2017-03-21. Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks. https://arxiv.org/abs/1510.07641

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