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.
|Number of pages||4|
|Journal||Lecture Notes in Computer Science|
|Issue number||PART I|
|State||Published - 2005|
|Event||First International Conference on Natural Computation, ICNC 2005 - Changsha, China|
Duration: 27 Aug 2005 → 29 Aug 2005