Supervised discretization can discover risk groups in cancer survival analysis

• TNM staging system of malignant tumors, initially developed in 1950 and with their successive amendments, still remains the main prognostic classification in many adult cancers in order to predict treatment outcomes.• Supervised algortihms from machine learning are performed to find different patient groups in the treatment of breast cancer disease.• The new approaches found novel groups risks that improve prediction results of breast cancer relapse.

Source: Computer Methods and Programs in Biomedicine - August 17, 2016 Category: Bioinformatics Authors: Iv án Gómez, Nuria Ribelles, Leonardo Franco, Emilio Alba, José M. Jerez Source Type: research