CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
FACTOR ANALYSIS OF THE INFLUENCE OF SIGNS ON THE ACCURACY OF BREAST CANCER DIAGNOSIS ACCORDING TO MICROWAVE RADIOTHERMOMETRY
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Read | Germashev Ilya V., Dubovskaya Victoria I., Losev Alexander G., Popov Illarion E. FACTOR ANALYSIS OF THE INFLUENCE OF SIGNS ON THE ACCURACY OF BREAST CANCER DIAGNOSIS ACCORDING TO MICROWAVE RADIOTHERMOMETRY // Caspian journal : management and high technologies. — 2022. — №1. — pp. 139-148. |
Germashev Ilya V. - Doct. Sci. (Enginering), Professor, Volgograd State University, germashev@volsu.ru
Dubovskaya Victoria I. - postgraduate student, Volgograd State University, dubovskajav@volsu.ru
Losev Alexander G. - Doct. Sci. (Physics and Mathematics), Professor, Volgograd State University, alexander.losev@volsu.ru
Popov Illarion E. - undergraduate student, Volgograd State University, popov.larion@volsu.ru
The paper presents a model for assessing the impact of diagnostic signs of cancer on the diagnosis within a specific classification method. Factor loads of features are taken as the basis for determining the level of influence. A comparative analysis of factor models constructed by the methods of principal components, maximum likelihood and least squares is carried out.
Key words: factor analysis, machine learning, consultative and diagnostic systems, breast cancer