| Authors |
Bodin Oleg Nikolaevich, doctor of technical sciences, professor, sub-department of information and measuring equipment and metrology, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: bodin_o@inbox.ru
Bausova Zoya Ivanovna, candidate of technical sciences, associate professor, sub-department of information and computing systems, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: bausovazoya@mail.ru
Bezborodova Oksana Evgen’evna, candidate of technical sciences, associate professor, sub-department of technosphere safety, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: ot@.pnzgu.ru
Ubiennykh Anatoliy Gennad'evich, senior lecturer, sub-department of information and computing systems, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: utolg@.mail.ru
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| Abstract |
Background. The aim of the work is to develop and study a multiagent simulation model of process control in a computer diagnostic system to determine the efficiency of resource allocation of medical institutions between patients.
Materials and methods. The theoretical and methodological basis of the research works made in the field of non-invasive cardio diagnosis, queuing system theory and simulation modeling. The studies analyzed algorithms of the behavior agents of the system were analyzed to find the optimal scenarios for the provision of medical care. In conducting research were used methods cardiology, GPSS World simulation system.
Results. Simulated (computer) modeling of the computer diagnostic system «Cardiovid» work with two and three medical workers was carried out. From the data using the analytic platform Deductor Studio Academic in the cardiology department, the patients who most need medical care are identified. Data analysis showed that the system will work effectively with three medical workers.
Conclusions. The results of simulation modeling based on multiagent technology will increase the efficiency of identifying patients of the cardiology department who most need medical care.
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| Key words |
multiagent technology, computer diagnostic system, simulation modeling, multiagent simulation model, statistical data
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