Predicting ER Deaths

Konur Unyelioglu uses a neural network to predict emergency department deaths:

In this article we used an artificial neural network (ANN) from Spark machine learning library as a classifier to predict emergency department deaths due to heart disease. We discussed a high-level process for feature selection, choosing number of hidden layers of the network and number of computational units. Based on that process, we found a model that achieved very good performance on test data. We observed that Spark MLlib API is simple and easy to use for training the classifier and calculating its performance metrics. In reference to Hastie et. al, we have some final comments.

Articles like this are what got me interested in data analysis to begin with.

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May 2016
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