@inproceedings{8eb7666cc691456eb60ea96f05e24b74,
title = "Can circulating matrix metalloproteinases be predictors of breast cancer? A neural network modeling study",
abstract = "At Windber Research Institute we have started research programs that use artificial neural networks (ANNs) in the study of breast cancer in order to identify heterogeneous data predictors of patient disease stages. As an initial effort, we have chosen matrix metalloproteinases (MMPs) as potential biomarker predictors. MMPs have been implicated in the early and late stage development of breast cancer. However, it is unclear whether these proteins hold predictive power for breast disease diagnosis, and we are not aware of any exploratory modeling efforts that address the question. Here we report the development of ANN models employing plasma levels of these proteins for breast disease predictions.",
author = "H. Hu and Somiari, \{S. B.\} and J. Copper and Everly, \{R. D.\} and C. Heckman and R. Jordan and R. Somiari and J. Hooke and Shriver, \{C. D.\} and Liebman, \{M. N.\}",
year = "2005",
doi = "10.1007/11539087\_138",
language = "English",
isbn = "9783540283232",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
number = "PART I",
pages = "1039--1042",
booktitle = "Advances in Natural Computation",
edition = "PART I",
note = "1st International Conference on Natural Computation, ICNC 2005 ; Conference date: 27-08-2005 Through 29-08-2005",
}