Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks

26 Oct 2015 · Zachary C. Lipton, David C. Kale, Randall C. Wetzel ·

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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General Classification

Time Series

Time Series Analysis

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LSTM • Sigmoid Activation • Tanh Activation

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Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks

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