Machine Learning Applied to BRCA1 Hereditary Breast Cancer Data

Abstract

This research aims to provide a tool to doctors in order to help for diagnosis of BRCA1 hereditary breast cancer. Our goal is to determine, if possible, profiles that are responsible for early cancer onset. In order to extract knowledge from the biological information above we will create a relational database that will allow prognosticating cancer apparition. We want to determine different types responsible for different profiles of cancer onset thanks to machine learning programs. The prognostic will rely on polymorphisms of a gene, BRCA1, but on family history as well. The machine learning software(s) will be used as a tool by doctors as a help for diagnosis. This tool will be used in order to determine if these patients are member of a high risk cluster, an early occurring cancer.

DOI: 10.1109/WAINA.2009.165

Cite this paper

@article{Doncescu2009MachineLA, title={Machine Learning Applied to BRCA1 Hereditary Breast Cancer Data}, author={Andrei Doncescu and Baptiste Tauzain and Nabil Kabbaj}, journal={2009 International Conference on Advanced Information Networking and Applications Workshops}, year={2009}, pages={942-947} }