Comparison of Unplanned 30-Day Readmission Prediction Models, Based on Hospital Warehouse and Demographic Data. Stud Health…
Anticipating unplanned hospital readmission episodes is a safety and medico-economic issue. We compared statistics (Logistic Regression) and machine learning algorithms (Gradient Boosting, Random Forest, and Neural Network) for predicting the risk of all-cause, 30-day hospital readmission using data from the clinical data warehouse of Rennes and from other sources.
- Ref: doi: 10.3233/SHTI200220.
- Année de publication : 2020
- Auteurs : Dhalluin T, Bannay A, Lemordant P, Sylvestre E, Chazard E, Cuggia M, Bouzille G.