# Predicting readmission risk from doctors' notes

arXiv: https://arxiv.org/abs/1711.10663 · HTML: https://mlsanity.com/paper/1711.10663/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 29 Nov 2017.

## Built on by (most cited first, 2 of 2)

- [Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System](https://mlsanity.com/paper/2108.10818/) (2021)
- [An Interpretable Deep-Learning Framework for Predicting Hospital Readmissions From Electronic Health Records](https://mlsanity.com/paper/2310.10187/) (2023)

## 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.