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arXiv · 1711.10663

Predicting readmission risk from doctors' notes

Erin Craig·Carlos Arias·David Gillman
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Abstract

We develop a model using deep learning techniques and natural language processing on unstructured text from medical records to predict hospital-wide $30$-day unplanned readmission, with c-statistic $.70$. Our model is constructed to allow physicians to interpret the significant features for prediction.

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Erin Craig, Carlos Arias, David Gillman. 2017-12-20. Predicting readmission risk from doctors' notes. https://arxiv.org/abs/1711.10663

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