The study explores an approach to operating with the fuzziness of clinical manifestations of hereditary diseases, based on a combination of three expert evaluations. The contribution to a portrait of diseases of such components as modality, manifestation and severity is considered. Simultaneous accounting of these attributes and comparison of the manifestations of the disease in a patient with a standard expert description make it possible to carry out differential diagnostics at the pre-laboratory stage of diagnosis.
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Blagosklonov N. A. Implementation of fuzziness of the hereditary diseases clinical picture in an expert diagnostic system // CEUR Workshop Proceedings. 2021. Vol.2965. Russian Advances in Fuzzy Systems and Soft Computing: Selected Contributions to the 10th International Conference “Integrated Models and Soft Computing in Artificial Intelligence” (IMSC-2021). Kolomna, Russian Federation, May 17–20, 2021. Pp. 331-335.