ANALYSIS OF INPUT PARAMETERS OF THE EXPERT SYSTEM FOR EARLY DIAGNOSIS OF THE DISEASE
https://doi.org/10.34822/1999-7604-2020-4-33-41
Abstract
The article describes the preparation of input parameters of the expert system for the construction phase of production rules. The analysis of the possibility of dimensional reduction of input parameters by factor analysis methods such as principal component analysis and factor analysis is made. The adequacy assessment of the general sample for constructing a factor model is verified by Bartlett's test and the Kaiser-Meyer-Olkin Test. The model is subjected to qualitative assessments: the proportion of explained variance, the generality of factors, and the interpretability of the model. Based on the obtained factors, correlation graphs with input parameters are plotted, and graphically represented as a map of relationships. As a result, a model consisting of two factors is obtained, which indicates that the input parameters of the system have a complex correlation and cannot be reduced.
About the Author
A. S. Serobabov
Omsk State Technical University, Omsk, Russia
Russian Federation
E-mail: aserobabow95@mail.ru
Russian Federation
E-mail: aserobabow95@mail.ru
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Review
For citations:
Serobabov A.S. ANALYSIS OF INPUT PARAMETERS OF THE EXPERT SYSTEM FOR EARLY DIAGNOSIS OF THE DISEASE. Proceedings in Cybernetics. 2020;(4 (40)):33-41. (In Russ.) https://doi.org/10.34822/1999-7604-2020-4-33-41
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