MULTIPURPOSE INFORMATION AUTOMATED SYSTEMS IN DERMATOLOGY

Abstract

The article examines the development and implementation of multipurpose automated information systems in dermatology. The systems address the prediction, diagnosis, and prevention of allergic dermatoses; differential diagnosis of common dermatoses; optimization and individualized selection of medicinal products; and prediction of occupationally related allergic dermatoses. The structure of selected systems, including their databases and modules, is described, along with the use of neural networks and a fuzzy expert system. These systems support risk-group identification, occupational selection, and improved effectiveness of complex therapy.