Modelling ordinal relations with SVMs: An application to objective aesthetic evaluation of breast cancer conservative treatment
✍ Scribed by Jaime S. Cardoso; Joaquim F. Pinto da Costa; Maria J. Cardoso
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 222 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0893-6080
No coin nor oath required. For personal study only.
✦ Synopsis
The cosmetic result is an important endpoint for breast cancer conservative treatment (BCCT), but the verification of this outcome remains without a standard. Objective assessment methods are preferred to overcome the drawbacks of subjective evaluation.
In this paper a novel algorithm is proposed, based on support vector machines, for the classification of ordinal categorical data. This classifier is then applied as a new methodology for the objective assessment of the aesthetic result of BCCT.
Based on the new classifier, a semi-objective score for quantification of the aesthetic results of BCCT was developed, allowing the discrimination of patients into four classes.