Geodesic
On optimization of the number of diagnostic signs for breast diseases through thermometric data
Matematičeskaâ fizika i kompʹûternoe modelirovanie, no. 6 (2016), pp. 128-140.

Voir la notice de l'article provenant de la source Math-Net.Ru

The work is devoted, on the one hand, to the study of the correlation interconnection of signs, derived from medical thermometer data intended for the diagnosis of breast diseases. The authors also highlighted the most important signs of a disease for the express-diagnostics of cancer breast tumors. One of the directions of development of artificial intelligence systems is the development of expert systems for medical diagnostics. Their use helps the doctor to improve the quality of their work. The objective of such systems is not only the definition but also consulting assistance in identifying diseases (one or more) of patients, based on his observations. When creating intelligent advisory systems, developers rely on a number of high-quality diagnostic features. For their mathematical interpretation, a variety of functional relationships between the initial thermometric data can be used. In this regard, the number of possible diagnostic quantitative traits that may be employed in diagnostic systems express increases to several hundred or even thousands. Each of the resulting symptoms was assessed in terms of its information content, which reflects the degree of diagnostic ability of this feature. However, many of the quantified traits are interdependent and interchangeable. Reducing the number of diagnostic features with regard to their independence and maximum information content is one of the ways of increasing the quality of advisory intelligent systems.
Keywords: microwave radiometry, intellectual consulting systems, express-diagnostics, breast tumors, correlation analysis. 
@article{VVGUM_2016_6_a12,
     author = {E. A. Mazepa and H. M. Suleymanova},
     title = {On optimization of the number of diagnostic signs for breast diseases through thermometric data},
     journal = {Matemati\v{c}eska\^a fizika i kompʹ\^uternoe modelirovanie},
     pages = {128--140},
     publisher = {mathdoc},
     number = {6},
     year = {2016},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VVGUM_2016_6_a12/}
}
TY  - JOUR
AU  - E. A. Mazepa
AU  - H. M. Suleymanova
TI  - On optimization of the number of diagnostic signs for breast diseases through thermometric data
JO  - Matematičeskaâ fizika i kompʹûternoe modelirovanie
PY  - 2016
SP  - 128
EP  - 140
IS  - 6
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/VVGUM_2016_6_a12/
LA  - ru
ID  - VVGUM_2016_6_a12
ER  - 
%0 Journal Article
%A E. A. Mazepa
%A H. M. Suleymanova
%T On optimization of the number of diagnostic signs for breast diseases through thermometric data
%J Matematičeskaâ fizika i kompʹûternoe modelirovanie
%D 2016
%P 128-140
%N 6
%I mathdoc
%U http://geodesic.mathdoc.fr/item/VVGUM_2016_6_a12/
%G ru
%F VVGUM_2016_6_a12
E. A. Mazepa; H. M. Suleymanova. On optimization of the number of diagnostic signs for breast diseases through thermometric data. Matematičeskaâ fizika i kompʹûternoe modelirovanie, no. 6 (2016), pp. 128-140. http://geodesic.mathdoc.fr/item/VVGUM_2016_6_a12/

[1] T.\;V. Zamechnik, E.\;A. Mazepa, S.\;I. Cherkesova, G.\;V. Pankova, “The Question about Optimization of Screening of the Mammary Glands by the Method of Microwave Radiometry”, Science Journal of New Medical Technolgy, 21:4 (2014), 34–38

[2] A.\;G. Losev, E.\;A. Mazepa, Kh.\;M. Suleymanova, “On the Relationship of Certain Characteristics of RTM-Diagnosis of Breast Diseases”, Science Journal of Volgograd State University. Mathematics. Physics, 2015, no. 4 (29), 35–44

[3] A.\;G. Losev, E.\;A. Mazepa, T.\;V. Zamechnik, “About Some Characteristic Symptoms in the Diagnosis of Breast Pathology on the Data of Microwave Radiometry”, Sovremennye problemy nauki i obrazovaniya, 2014, no. 6, 254

[4] V.\;A. Medik, M.\;S. Tokmachev, B.\;B. Fishman, Statistics in Medicine and Biology, in 2 vols., v. 1, Theoretical Statistics, Meditsina Publ., M., 2000, 412 pp.

[5] V.\;M. Moiseenko, V.\;F. Semiglazov, “Kinetic Features of Breast Cancer Growth and Their Importance for Early Cancer Detection”, Mammologiya, 1997, no. 3, 311

[6] L\;M. Burdina, et al, “Application of Microwave Radiometry for Detection of Breast Cancer”, Mammologiya, 1998, no. 2, 312

[7] N.\;N. Tikhomirova, The Technique of the RTM-Breast Examination, 2008, 64 pp.