Abstract
The technological advancements in recent years has enabled the creation of the Internet of Medical Things, i.e. solutions where medical devices can communicate with each other and exchange data. The guiding idea is to model solutions that can reduce the amount of expected time for analysis of examination results, quick response in the case of diseases as well as assist doctors. In this paper, we propose a solution based on a multi-agent system, where agents are adapted to use classifiers based on artificial intelligence techniques. In the proposed model, we also analyze patient data security and describe the solution so that it is possible to use data in training classifiers without affecting their patient identity. Our approach has been tested on solution simulations based on the most popular technique of artificial intelligence – convolutional neural network.
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Połap, D., Srivastava, G., Woźniak, M. (2020). Multi-agent Architecture for Internet of Medical Things. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2020. Lecture Notes in Computer Science(), vol 12416. Springer, Cham. https://doi.org/10.1007/978-3-030-61534-5_5
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