7 August 2017 Neural expert decision support system for stroke diagnosis
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Proceedings Volume 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017; 104453I (2017) https://doi.org/10.1117/12.2280956
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2017, 2017, Wilga, Poland
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Leonid M. Kupershtein, Tatiana B. Martyniuk, Myhail D. Krencin, Andriy V. Kozhemiako, Yurii Bezsmertnyi, Halyna Bezsmertna, Maksat Kolimoldayev, Andrzej Smolarz, Róża Weryńska-Bieniasz, Svetlana Uvaysova, "Neural expert decision support system for stroke diagnosis", Proc. SPIE 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, 104453I (7 August 2017); doi: 10.1117/12.2280956; https://doi.org/10.1117/12.2280956
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