MLNov 29, 2017
Predicting readmission risk from doctors' notes
arXiv:1711.10663v214 citations
Originality Synthesis-oriented
AI Analysis
This addresses hospital readmission prediction for healthcare providers, but it is incremental as it applies existing methods to a specific domain.
The authors tackled the problem of predicting 30-day unplanned hospital readmissions by developing a deep learning and NLP model using unstructured medical notes, achieving a c-statistic of 0.70.
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.