Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks.

作者: Zachary Chase Lipton , David C. Kale , Randall C. Wetzel

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

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