Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4942179 | Artificial Intelligence in Medicine | 2017 | 13 Pages |
Abstract
Thanks to the performance and interpretability of the fuzzy classification method employed, predictors of both parotid shrinkage and xerostomia are detected, and their influence on each outcome is revealed. Moreover, models for predicting parotid shrinkage at initial and half radiotherapy stages are found.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Marco Pota, Elisa Scalco, Giuseppe Sanguineti, Alessia Farneti, Giovanni Mauro Cattaneo, Giovanna Rizzo, Massimo Esposito,