Abstract
A generalized net model, which describes the diagnostic process of diseases using intelligent techniques is constructed in the paper. By analyzing the retrospective physiological, medical, individual-behavioral parameters of the patient we can find correlation to a particular disease, its progression and the likelihood of a response to treatment. The model can be used for monitoring and analysis of the process of assessment.
Keywords
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This paper is supported by the National Scientific Program “Information and Communication Technologies for a Single Digital Market in Science, Education and Security (ICTinSES)”, funded by the Ministry of Education and Science of Bulgaria.
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Sotirova, E., Bozov, H., Stoyanov, V., Popov, I. (2021). A Generalized Net Model of the Hybrid System for Diagnostics. In: Atanassov, K., et al. Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives. IWIFSGN 2018. Advances in Intelligent Systems and Computing, vol 1081. Springer, Cham. https://doi.org/10.1007/978-3-030-47024-1_15
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DOI: https://doi.org/10.1007/978-3-030-47024-1_15
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