Use of Fuzzy Logic Methods for Statement of Diseases on the Basis of Symptomatic Model
-
2018-11-30 https://doi.org/10.14419/ijet.v7i4.25.26924 -
Fuzzy, Symptomatic Model, nosological, multi-dimensional virtual image. -
Abstract
Finding the answer to the problem of recognizing (diagnosis) patient’s state as a whole and its main systems is based on analysis and interpretation of the available data on current state of the patient and his medical history. An important stage of this process is development of a method of forming images of the patient’s condition, and models of nosological forms of the disease, which will solve the main task of automating the procedure of recognizing the patient’s condition using a multi-dimensional virtual image.
Â
-
References
[1] Kudzh S.A., Kochetkova L.N., Nazarenko M.A. The philosophy of quality management // Russian Technological Journal, 2015. 3 (8), P. 1-8.
[2] Nazarenko M.A., Khronusova T.V. Big Data in Modern Higher Education. Benefits and Criticism // Proceedings of the 2017 International Conference “Quality Management, Transport and Information Security, Information Technologiesâ€, IT and QM and IS, 2017, 8085914, p. 676-679.
[3] Ryabkova, EB, Govorukhina T.N., Korenevsky, H.A. Algorithm for the correction of multidimensional separating surface // Bulletin of the Voronezh State Technical University. - 2011. - T.7. - №7. - p. 194–200
[4] Ostroukh A., Akimov D., Morozova T. etc. Automatization of temperature control in the microprocessor system.// International Journal of Soft Computing. 2015. V. 10. No. 5.S. 293-300.
[5] Kashkin E.V., Debunov A.A., Merkulov A.A. et al. On some aspects of the development of information systems for diagnosing diseases in a patient using fuzzy logic // Natural and Technical Sciences. 2018. No. 8 (122). Pp. 168-170.
-
Downloads
-
How to Cite
E.V. Kashkin, E., A. Debunov, A., & I. Antonova, I. (2018). Use of Fuzzy Logic Methods for Statement of Diseases on the Basis of Symptomatic Model. International Journal of Engineering & Technology, 7(4.25), 218-220. https://doi.org/10.14419/ijet.v7i4.25.26924Received date: 2019-01-31
Accepted date: 2019-01-31
Published date: 2018-11-30