Dual Control Memory Augmented Neural Networks for Treatment Recommendations

Abstract

Machine-assisted treatment recommendations hold a promise to reduce physician time and decision errors. We formulate the task as a sequence-to-sequence prediction model that takes the entire time–ordered medical history as input, and predicts a sequence of future clinical procedures and medications. It is built on the premise that an effective treatment… (More)

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