[Prediction of genesis and development of skin diseases at bioactive sites using fuzzy decision rules].

A decision system based on fuzzy decision rules is suggested to improve the quality of prediction and diagnosis of a number of widely spread skin diseases. The fuzzy decision rules use information on the bioactive sites and risk factors, as well as various data conventionally used in practical dermatology.

[Generation of fuzzy network models taught on the basis of data structure for medical expert systems].

Exploratory analysis of the characteristics and structure of the classes under study is suggested to be used for generation of fuzzy decision rules for medical applications. It is shown that the use of the fuzzy set theory in combination with computational experiment makes it possible to reduce the number of computational procedures while maintaining high quality of classification and prediction.

[Automated processing of electrophysiologic signals]. / Avtomaticheskii analiz élektrofiziologicheskikh signalov.

The paper outlines a diagram of a multichannel analyzer of electrophysiological signals while are significantly non-stationary (such as those of electroencephalograms, myograms, etc.), by using a method based on the ranging procedure by the change-over points which may be the points of infection, impaired locality, minima, maxima, discontinuity, etc.