Artificial neural network-based study can predict gastric cancer staging.

Abstract

Analysis of genetic polymorphisms of candidate genes by ANN using clinicopathological datasets is a promising method for predicting human gastric cancer staging. This strategy can identify the important genetic, clinical and pathological factors, determine their relative impact, and aid in the development of a prognostic staging system that is useful in individualized patient care.