Intelligence diagnosis system of pathological process with redundant training matrix

Abstract

The method of infection diseases diagnosing is considered within the bounds of information-extreme intelligence technology, which is based on maximization of informational capability of a decision support system in the study process by means of sequential optimization of the redundant binary training matrix. Implementation of the proposed algorithm was done for GRID-center of acute enteric infection diagnosing.