Survival of breast cancer patients following surgery: a detailed assessment of the multi-layer perceptron and Cox's proportional hazard model

摘要

The prognostic assessment of breast cancer patients following surgery to excise the tumour and other pathological tissue, is an important consideration in determining the most appropriate course of adjuvant therapy for the patient. The paper compares the relative predictive performance of a neural network and an established statistical method, on the basis of their ROC and Kaplan-Meier curves, using information available at the time of surgery.