Показати скорочений опис матеріалу
dc.contributor.author | Kupershtein, L. M. | en |
dc.contributor.author | Martyniuk, T. B. | en |
dc.contributor.author | Krencin, M. D. | en |
dc.contributor.author | Kozhemiako, A. V. | en |
dc.contributor.author | Bezsmertnyi, Yu. O. | en |
dc.contributor.author | Bezsmertna, H. V. | en |
dc.contributor.author | Kolimoldayev, M. | en |
dc.contributor.author | Smolarz, A. | en |
dc.contributor.author | Weryńska-Bieniasz, R. | en |
dc.contributor.author | Uvaysova, S. | en |
dc.date.accessioned | 2021-01-12T19:39:48Z | |
dc.date.available | 2021-01-12T19:39:48Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Neural expert decision support system for stroke diagnosis / L. M. Kupershtein, T. B. Martyniuk, M. D. Krencin [et al.] // Proc. of SPIE. Photonics Applications in Astronomy, Communications, Industry and High Energy Physics Experiments. – 2017, August 7. – Vol. 10445. – 104453I-6. | en |
dc.identifier.other | doi: 10.1117/12.2280956 | |
dc.identifier.uri | https://dspace.vnmu.edu.ua/123456789/5040 | |
dc.description | Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments. 2017, Wilga, Poland. | en |
dc.description.abstract | In the work the hybrid expert system for stroke diagnosis was presented. The base of expert system consists of neural network and production rules. This program can quickly and accurately set to the patient preliminary and final diagnoses, get examination and treatment plans, print data of patient, analyze statistics data and perform parameterized search for patients. | en |
dc.language.iso | en | en |
dc.subject | expert system | en |
dc.subject | neural network | en |
dc.subject | production rule | en |
dc.subject | stroke | en |
dc.subject | medical diagnosis | en |
dc.title | Neural expert decision support system for stroke diagnosis | en |
dc.type | Thesis | en |