%A W. N. Street
%A O. L. Mangasarian
%A W. H. Wolberg
%T Individual and Collective Prognostic Prediction
%D January 1996
%R 96-01
%I COMPUTER SCIENCES DEPARTMENT, UNIVERSITY OF WISCONSIN
%C MADISON, WI
%X The prediction of survival time or recurrence time is an important
learning problem in medical domains.  The Recurrence Surface
Approximation (RSA) method is a natural, effective method for predicting
recurrence times using censored input data.  This paper introduces the
Survival Curve RSA (SC-RSA), an extension to the RSA approach which
produces accurate predicted rates of recurrence, while maintaining
accuracy on individual predicted recurrence times.  The method is
applied to the problem of breast cancer recurrence using two different
datasets.