How To Predict ICU Mortality with Digital Health Data, DL4J, Apache Spark and Cloudera

Modeling EHR Data in Healthcare In this case study, we take a look at modeling electronic health record (EHR) data with deep learning and Deeplearning4j (DL4J). We draw inspiration from recent research showing that carefully designed neural network architectures can learn effectively from the complex, messy data collected in EHRs. Specifically, we describe how to train an long short-term memory recurrent neural network (LSTM RNN) to predict in-hospital mortality among patients hospitalized in the intensive care unit (ICU). Read more The post How To Predict ICU Mortality with Digital Health Data, DL4J, Apache Spark and Cloudera appeared first on Cloudera Engineering Blog.

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