Siberian Journal of Life Sciences and Agriculture (Feb 2024)

PREDICTION OF THE PRESENCE OF CHLAMYDIA INFECTION IN PERSISTENT YEAR-ROUND ALLERGIC RHINITIS

  • Elena G. Portenko,
  • Georgy B. Burdo,
  • Valeria S. Kuznetsova,
  • Natalia A. Vashnevskaya

DOI
https://doi.org/10.12731/2658-6649-2024-16-1-686
Journal volume & issue
Vol. 16, no. 1
pp. 276 – 296

Abstract

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Background. Taking into account a number of features in the diagnosis of year-round allergic rhinitis caused by chlamydial infection, it is important to increase the efficiency of its detection. Purpose. Creation of a methodology for predicting the presence of chlamydial infection in perennial allergic rhinitis, suitable for subsequent implementation in the form of a database of an expert decision support system. Methods. Based on the literature analysis of the research results, the results of managing patients with confirmed year-round allergic rhinitis, who, according to the results of basic treatment, have an unstable remission, the symptoms of this disease were established and a method for predicting its presence was formulated. All symptomatic data were divided into four groups of signs with a certain number of indicators in each. A total of 23 indicators have been proposed, some of which are mandatory for confirming infection, and some are alternative. The forecasting technique is based on the analysis of the ratio of mandatory and alternative features and was presented in the form of clear rules suitable for implementation in the MATLAB computing environment. The use of data related to patients was carried out in accordance with the Declaration of Helsinki of the World Medical Association, which regulates the conduct of scientific research. Research results and discussion. Based on the complex of studies performed, a method for predicting the presence of this pathology was proposed. A feature of the technique is a gradual increase in the reliability of the forecast, which eliminates the redundancy of surveys. Taking into account the possibilities of modern information technologies, the problem of creating a knowledge base for expert systems for the diagnosis of year-round allergic rhinitis caused by chlamydial infection was solved. The practical significance of the results of the work is to increase the reliability of diagnosing year-round allergic rhinitis caused by chlamydial infection. Conclusion. It was found that the identified 23 diagnostic indicators provide a fairly reliable prediction of the presence of chlamydial infection and, as a result, improve the quality of diagnosis of year-round allergic rhinitis.

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