Artificial neural networks for cardiovascular risk, cardiovascular fitness and ankle-brachial index
Artificial Neural Networks are biologically inspired computational methodologies that can perfom multifactorial analyses. In recent years, they have been evaluated for medical decision support, with varying degrees of success. The preliminary part of my thesis deals with evaluating whether an Artifi...
| Main Author: | |
|---|---|
| Format: | Others |
| Published: |
Scholarly Commons
2005
|
| Subjects: | |
| Online Access: | https://scholarlycommons.pacific.edu/uop_etds/616 https://scholarlycommons.pacific.edu/cgi/viewcontent.cgi?article=1615&context=uop_etds |