title: Ð¡Ð¸ÑÑÐµÐ¼Ð° Ð¿ÑÐµÐ´Ð²Ð°ÑÐ¸ÑÐµÐ»ÑÐ½Ð¾Ð¹ Ð¿Ð¾ÑÑÐ°Ð½Ð¾Ð²ÐºÐ¸ Ð´Ð¸Ð°Ð³Ð½Ð¾Ð·Ð° Ð¿Ð°ÑÐ¸ÐµÐ½ÑÐ°Ð¼ Ñ Ð°Ð½ÐµÐ¼Ð¸ÐµÐ¹ Ð¿Ð¾ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ°Ð¼ Ð»Ð°Ð±Ð¾ÑÐ°ÑÐ¾ÑÐ½ÑÑ Ð¸Ð·Ð¼ÐµÑÐµÐ½Ð¸Ð¹
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: System of preliminary diagnosis of patients with anemia based on laboratory measurements
Creators: name: ÐÐ¾Ð»ÑÑÐ¾Ð², ÐÐ²Ð³ÐµÐ½Ð¸Ð¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: Ð¸Ð·Ð¼ÐµÑÐµÐ½Ð¸Ñ ÐºÐ»Ð¸Ð½Ð¸ÑÐµÑÐºÐ¸Ñ Ð»Ð°Ð±Ð¾ÑÐ°ÑÐ¾ÑÐ½ÑÑ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»ÐµÐ¹
Ð°Ð½ÐµÐ¼Ð¸Ñ
Ð½ÐµÑÐµÑÐºÐ°Ñ Ð»Ð¾Ð³Ð¸ÐºÐ°
Ð±Ð°Ð¹ÐµÑÐ¾Ð²ÑÐºÐ¸Ðµ ÑÐµÑÐ¸
C#
.NET core
web API
clinical laboratory measurements
anemia
fuzzy logic
bayesian networks

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description: The purpose of the presented work is the development of a system for automated preliminary diagnosis of patients with anemia by the results of measurements of clinical laboratory parameters. The author has developed and tested an algorithm based on ideas and technologies of fuzzy logic. Its implemented in the service, which is a Web API application written in C# programming language. Block diagrams, UML diagrams and service sequence diagrams have been developed to describe the process of algorithms operation. Setting up the Bayesian network serving for the same purposes also was performed. The efficiency of the developed algorithm based on fuzzy logic is compared to the results of its work. In order to provide the possibility of comparison of quality of work of the compared methods, the process of diagnosis of patients with anemia on the basis of available results of changes is considered in detail. According to the results of testing the developed service on a large-scale sample of measurements of clinical laboratory indices of 1320 patients with anemia, the diagnosis error was about 10%. When comparing the results of the proposed algorithm with the BayesSoviet network in the processing of general blood analysis data, the number of differences in the diagnosis between them was 0.03%. According to the results of the graduate qualification work, further studies will be conducted to implement the developed algorithm and service for processing the results of clinical laboratory indicators measurements in the practice of laboratory medical services.