Prediction of the thromboembolic syndrome: an application of artificial neural networks in gene expression data analysis

ABSTRACT

The aim of this study was to propose a method for improving the power of recognition and classification of thromboembolic syndrome based on the analysis of gene expression data using artificial neural networks