Predicting readmission risk from doctors' notes
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 13 Oct 2026). First posted on arXiv 29 Nov 2017.
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2 papers.