Abstract
Heterogeneous diseases are medical and social problems with a high risk of complications, widespread prevalence and insufficient control on the scale of human society. Such diseases are characterized by polymorbidity and Rigelman situations, which requires the participation of a team of specialists of various profiles in diagnostic decision-making. The concept of “Virtual concilium” for modeling collective diagnostic decision-making is proposed. The use of the virtual concilium reduces the number of errors in the diagnosis and, accordingly, increases the quality of diagnostic decisions.
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Rumovskaya, S.B., Listopad, S.V., Kolesnikov, A.V. (2018). Virtual Concilium for Diagnostics of Heterogeneous Diseases. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education. AIMEE 2017. Advances in Intelligent Systems and Computing, vol 658. Springer, Cham. https://doi.org/10.1007/978-3-319-67349-3_21
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DOI: https://doi.org/10.1007/978-3-319-67349-3_21
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