Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10320547 | Artificial Intelligence in Medicine | 2014 | 8 Pages |
Abstract
The results show that our methodology is able to find relevant information on the underlying cognitive mechanisms and to use it appropriately to provide better diagnosis than existing techniques. It is also worth noting that the individualized characterization obtained using our methodology could be extremely helpful in designing individualized therapies. Moreover, the proposed methodology could be easily extended to other languages and even to other cognitive impairments not necessarily related to language.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Jesús Oliva, J. Ignacio Serrano, M. Dolores del Castillo, Ángel Iglesias,