Reliability and Evaluation of Identification Models Exemplified by a Histological Diagnosis Model

Expert systems, or more precise decision support systems, are valuable tools for structuring the results of scientific research and to translate this to knowledge. The decision support sys‐ tem Determinator is now used for several years as a platform for models to identify subjects [1, 2]. The system is based on the two main different procedures for identification [3, 4]; a sin‐ gle access key(tree) and a free access key(matrix). The latter option provides the possibility to calculate the match between the subject as chosen by the user and the objects as included in the data model, based on a range of characteristics. In addition, a matrix allows to make selections, to filter the set of available objects and to compare two objects for their variability.