Intellectual subsystem that is used to diagnose diseases by analyzing blood

Abstract

The work is devoted to the creation of an intellectual subsystem for diagnosing diseases by analyzing blood, the parameters of which may deviate from the norm and be described by interval values. In this paper, proposes to use elements of computational intelligence, in particular: the theory of fuzzy sets. To determine the deviations of the blood test, the normative medical documents are used, on the basis of which the norm or not the norm of the indicators is determined. It is proposed to describe those parameters that go beyond the limits of normative medical documents with the use of membership functions. In some cases, linguistic variables are used, in particular, the term sets are «very», «not very» and other. It is suggested to use direct expert methods of constructing membership functions for definiteness. In most cases, trapezoidal functions are selected and used. According to direct expert assessments, they have interval boundaries for changing indicators, which deviate from normative medical documents. For the analytical assignment of membership functions, the storage of their parameters and intervals is used, on which indicators that deviate from the norm can vary. This information subsystem has a patient database and is dynamically updated. The information subsystem is designed for medical workers and has ramified access rights. For example, nurses work only with a database, and doctors have access to the entire system. The created information subsystem is web-oriented, therefore the opportunity of a feedback with patients is realized. For their desire, the results of a patient’s blood test are sent to the e-mail. Moreover, with deviations in the results of a blood test, the degree of confidence of a specialist in a particular disease is given. In the work on the basis of normative medical documents, a fuzzy base for the rules of medical diagnosis of diseases for blood analysis was used and formed. The created information subsystem can be considered intellectual, since elements of computational intelligence are used, to which, in particular, the theory of fuzzy sets belongs. The created information subsystem can be considered intellectual, since elements of computational intelligence are used, to which, in particular, the theory of fuzzy sets belongs.

Authors and Affiliations

Є. О. Іванова, Л. І. Коротка

Keywords

Related Articles

About procedural generation of the content and its use at the creation of computer games

Procedural generation of content is crucial when creating various elements of computer games, such as game levels, buildings, textures, weapons, faces of non-player characters, trees, bushes, etc. Procedural generation i...

Інтелектуальна підсистема діагностування захворювань на основі аналізу крові

Робота присвячена створенню інтелектуальної підсистеми діагностування захворювань за аналізом крові, параметри якого можуть відхилятися від норми та описуватися інтервальними величинами. У даній роботі пропонується викор...

Чисельно-аналітична концепція розв’язків прикладних задач на основі схем підвищеного порядку точності

Статтю присвячено розподіленому моделюванню візуалізації векторів розв’язків прикладних задач на основі схем підвищеного порядку точності. Більш високе прискорення обчислень порівняно з кінцево-різницевим підходом ілюстр...

About methods of dynamically constructing graphical user interface based on the structure of applied ontology

Modern tools for developing user interfaces, namely, interface builders and user interface management systems, offer a simpler, more convenient and understandable approach to developing user interfaces. To implement the...

Моделирование эффекта реологической аномалии в водных растворах аминосиликатов

В работе предлагается простая математическая модель взаимосвязанных кислотноосновных и поликонденсационных равновесий в водных растворах аминосиликатов (полисиликатов алифатических аминов, аминоспиртов и других аминосоед...

Download PDF file
  • EP ID EP642511
  • DOI -
  • Views 105
  • Downloads 0

How To Cite

Є. О. Іванова, Л. І. Коротка (2017). Intellectual subsystem that is used to diagnose diseases by analyzing blood. Комп’ютерне моделювання: аналіз, управління, оптимізація, 2(2), 35-41. https://europub.co.uk/articles/-A-642511