Outlier Detection with One-Class SVMs: An Application to Melanoma Prognosis

摘要

Background: Medical diagnosis and prognosis using machine learning methods is usually represented as a supervised classification problem, where a model is built to distinguish “normal” from “abnormal” cases. If cases are available from only one class, this approach is not feasible.