Papers › Predicting readmission risk from doctors' notes

Predicting readmission risk from doctors' notes

29 Nov 2017arXiv:1711.10663archive 2025-07-28

Erin Craig, Carlos Arias, David Gillman

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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