OPERATIONAL ANALYSIS OF COMPLEX MEDICAL STATES BY PHOTONICS METHODS

Abstract

In this paper we analyze the possibility of using special methods and equipment of coherent photonics when working with multi-parameter information. Inverse two-phase coding and operational analysis of multi-parameter data can realize a number of probabilistic algorithms. The possibility and expediency of realization of not only the correlation algorithm underlying the holographic image recognition but also universal statistical algorithms using photonics methods is substantiated. A comparative analysis of photonic medical diagnostic systems running on a wide range of algorithms: search for precedent, correspondence diagnostics, deterministic diagnostics, Bayes algorithm. The results of experimental studies of medical diagnosis and the prediction of complex conditions is presented. Such an analysis is carried out by the means of vector-matrix multiplication using laser photonics methods. It is significant that with the widening of the range of probability algorithms, it is possible to preserve certain advantages of the holographic method: multidimensionality, efficiency, high information capacity and speed, visibility and flexibility of the result presentation. The methods described are of particular relevance in connection with the first photonic processors.