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JOURNALS // Vestnik of Astrakhan State Technical University. Series: Management, Computer Sciences and Informatics // Archive

Vestn. Astrakhan State Technical Univ. Ser. Management, Computer Sciences and Informatics, 2018 Number 2, Pages 81–90 (Mi vagtu533)

This article is cited in 1 paper

SOCIAL AND ECONOMIC SYSTEMS MANAGEMENT

Development of diagnostic medical expert system subject to the constitutional type of a patient

M. G. Grif, B. R. Shegal, Yu. Ayush

Novosibirsk State Technical University

Abstract: In the context of decision making in difficult medical situations — for specifying a diagnosis — there was presented a model of medical expert system (atomic diagnostic test) based on integration of diagnostic methods of the traditional and oriental medicine. Criterion for choosing the most available atomic diagnostic test in determining the disease at each stage of diagnostic process is its informativeness which can be assessed in terms of likelihood of positive test results (with binary answers “yes”–“no”). An important feature of the model offered is an attempt to combine methods of traditional and Tibetan medicine in order to develop a well-defined concept and methodology how to diagnose a disease. To increase diagnostic precision there has been developed a program method of diagnostic criterion (informativeness) using Bayes procedure and module of analysis based on nominal entropies. One variant of the diagnostic test based on self-assessed health status suggests determining a patient’s constitution due to which it is possible to specify the diagnosis, avoiding diseas es that are not typical for a certain constitutional type. Application of the diagnostic model offered motivates a patient to develop a healthy life, adhere to scientifically grounded system of disease prevention, according to the causes of diseases of the given constitution type.

Keywords: diagnostic test, likelihood assessment, expert system, integration of traditional and eastern medicines.

UDC: 004.82

Received: 22.01.2018

DOI: 10.24143/2072-9502-2018-2-81-90



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