linear regression

This ar­ticle analyzes the pat­ho­lo­gi­cal con­di­ti­ons of the bre­ast ba­sed on the study of cyto­lo­gi­cal ima­ges. Cyto­lo­gi­cal ima­ges are a se­pa­ra­te class of bi­ome­di­cal ima­ges and are used in the di­ag­no­sis of can­cer. For di­ag­no­se pre­can­ce­ro­us and can­ce­ro­us con­di­ti­ons and tre­at­ment tac­tics, di­ag­nosti­ci­ans use cyto­lo­gi­cal, his­to­lo­gi­cal, and im­mu­no­his­toche­mi­cal ima­ges. For au­to­ma­ting the pro­cess of di­ag­no­sis in on­co­logy, au­to­ma­ted mic­roscopy systems are used.

At the current stage of economic reform, the introduction of market-based management methods, there is a growing need for prompt decision-making in the calculation and forecasting of options for possible directions of production activity of individual enterprises. And this is practically impossible to do without the use in analytical study of economic and mathematical methods. The most common in the process of simple economic analysis of the activity of economic systems is the use of correlation-regression analysis.

Vibroartography is a method of medical diagnosis, designed for objective estimation of human joint motor function in general and arthrokinematics of the knee joint in particular. The method is based on the analysis of signals of vibroacoustic emission. Vibroartography is not so effective compared to methods such as radiography and magnetic resonance imaging (MRI), but it is definitely a sensitive method for assessing the degree of knee joint dysfunction. This paper presents the research results related to the design of a system for vibroarthrographic signals computer processing.