Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10320524 | Artificial Intelligence in Medicine | 2015 | 8 Pages |
Abstract
The institution-specific readmission risk prediction framework is more flexible and more effective than the one-size-fit-all models like the LACE, sometimes twice and three-time more effective. The admission-time models are able to give early warning signs compared to the discharge-time models, and may be able to help hospital staff intervene early while the patient is still in the hospital.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Shipeng Yu, Faisal Farooq, Alexander van Esbroeck, Glenn Fung, Vikram Anand, Balaji Krishnapuram,