The article presents the process of knowledge extraction and structuring in the medical subject area for the created expert system for diagnosing acute appendicitis. Knowledge was elicited from two experts. Difficulties in the formation of the feature space, which is necessary to determine the form of appendicitis, complications and differential diagnostics with other diseases similar in clinical picture, are noted. A key feature of the structured knowledge representation is, along with the attribute, characteristic and value of the feature, the inclusion of an “index sign” position, which indicates the stage of the pathological process or a possible diagnosis from the differential diagnostic range of acute appendicitis.
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Proceeding of the Institute for Systems Analysis of the Russian Academy of Science: hhttp://www.isa.ru/proceedings/index.php?option=com_content&view=article&id=1326&Itemid=0&lang=en
M. I. Kuznetsova, B. A. Kobrinsky. The capacity of ideographic research of network communities by means of intellectual text analysis // Proceeding of the Institute for Systems Analysis of the Russian Academy of Science. Vol. 75. No. 1. 2025. Pp. 3–9.