Time-to-Recur Measurements in Breast Cancer Microscopic Disease Instances

Ioannis Anagnostopoulos, Ilias Maglogiannis, Christos Anagnostopoulos, Konstantinos Makris, Eleftherios Kayafas, Vassili Loumos

Abstract

In this paper we present an overview of survival curves measurements using the Kaplan-Meier approximation method. The survival curves were constructed upon the decision of an artificial neural network, which estimates the time-to-recur (TTR) in patients who presented malignant breast tumours with no evidence of distant metastases at the time of diagnosis. For our work we used the Wisconsin Prognostic Breast Cancer (WPBC) data set. The measurements taken over actual data evaluated that the accuracy of our proposed decision system is in high levels and can be used for the breast cancer prognosis problem.

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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