Neural maps for faithful data modelling in medicine — state-of-the-art and exemplary applications

Abstract

In the present contribution, the application of neural networks and, especially, maps in medical applications is considered. Thereby, we shortly highlight some problems in medical applications and refer to recently developed example solutions. We review extensions and modifications of the basic self-organizing map for faithful data representation. We demonstrate these approaches in two typical medical applications: high-dimensional time series analysis and data visualization.