Article ID Journal Published Year Pages File Type
10320547 Artificial Intelligence in Medicine 2014 8 Pages PDF
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.
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Authors
, , , ,