The application of an intelligent computation approach to the support of the clinical decision making on orthodontic extractions is illustrated in this work. Artificial neural networks trained using cephalometric and orthodontic cast measurements can provide a valuable support in the extraction therapeutical option in orthodontics.
by: R. Martina(1), R. Teti(2), D. D’Addona(2), G. Iodice(1)
(1) Departments of Odontostomatology, University of Naples Federico II, Naples, Italy
(2) Department of Materials and Production Engineering, University of Naples Federico II, Naples, Italy
| Attachment | Size |
|---|---|
| Martina,Teti,D_Addona, Iodice.ppt | 1.94 MB |
Hello Authors,
This work is very interesting. I see you have considered a whole range of input features (numerical and categorical) for this study. Could you give some indication of the significance of these 32 features and the result of using reduced feature sets for neural network based decision making? This will be helpful for similar applications.
Cheers,
Michael.