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CCECE
2006
IEEE

Breast Cancer Prognosis via Gaussian Mixture Regression

12 years 2 months ago
Breast Cancer Prognosis via Gaussian Mixture Regression
This paper compares the performance of classification and regression trees (CART), multivariate adaptive regression splines (MARS), and a Gaussian mixture regressor (GMR) method in predicting breast cancer recurrence time in patients that have undergone cancer excision. It is shown that the GMR-based algorithm demonstrates an improved performance compared to CART and MARS. Moreover, GMR performance is comparable to that of a baseline predictor with the advantage of performing automatic feature selection and model optimization. Keywords—Prognosis prediction, breast cancer, time-to-recur, automatic feature selection, Gaussian mixture regressor, CART, MARS.
Tiago H. Falk, Hagit Shatkay, Wai-Yip Chan
Added 10 Jun 2010
Updated 10 Jun 2010
Type Conference
Year 2006
Where CCECE
Authors Tiago H. Falk, Hagit Shatkay, Wai-Yip Chan
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