| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6891332 | Computer Methods and Programs in Biomedicine | 2016 | 37 Pages |
Abstract
The proposed model for assessing the ASA score produces accurate predictions on the basis of the (limited) set of patient attributes in the database available for the tests. Moreover, the learned MR-Sort model allows for easy interpretation by providing human-readable classification rules.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Olivier Sobrie, Mohammed El Amine Lazouni, Saïd Mahmoudi, Vincent Mousseau, Marc Pirlot,