Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
377651 | Artificial Intelligence in Medicine | 2014 | 12 Pages |
Abstract
This work proposes a new method to obtain flexible and sparse risk prediction models. The proposed method performs as well as a support vector machine using the standard RBF kernel, but has the additional advantage that the resulting model can be interpreted by experts in the application domain.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Vanya Van Belle, Paulo Lisboa,