Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10320564 | Artificial Intelligence in Medicine | 2005 | 27 Pages |
Abstract
The proposed EP has led to the construction of inductors that are viable and usable on medical data which is representative but highly not linear. In particular, for the classification problem, these new inductors may be effectively used on the basal examination data to support doctors in deciding whether to avoid endoscopic examinations; whereas, in the prediction problem, they may support doctors' decisions about the advisability of eradication therapy. In both cases the variables selected indicate the possibility of reducing the data collection effort and also of providing information that can be used for general investigations on symptom relevance.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
M. Buscema, E. Grossi, M. Intraligi, N. Garbagna, A. Andriulli, M. Breda,