About this document
Hospital Readmission Prediction by anji0797 is a document available to read on EtoBox.
This study developed and evaluated machine learning models to predict 30-day hospital readmissions using both manually-derived and automatically-generated features from longitudinal data. The analysis included 428,669 patients, revealing that the machine learning model significantly outperformed the conventional LACE model, achieving an AUC of 0.83 compared to LACE
- Author
- anji0797
- Language
- EN