title: ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð²ÐµÑÐ¾ÑÑÐ½Ð¾ÑÑÐ½ÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¾Ð¹ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ¸ Ð¸ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð´Ð»Ñ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ¸ COVID-19
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: Probabilistic methods of medical diagnostics research and Covid-19 diagnostics information system development
Creators: name: ÐÐ°ÑÐµÐ²Ð°, ÐÐ½Ð°ÑÑÐ°ÑÐ¸Ñ
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: 2021
Subjects: ÐÐ½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ
ÐÐ°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
ÐÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ·ÑÐºÐ¸
ÐÐ»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ
Ð²ÐµÑÐ¾ÑÑÐ½Ð¾ÑÑÐ½ÑÐµ Ð¼ÐµÑÐ¾Ð´Ñ Ð¿Ð¾ÑÑÐ°Ð½Ð¾Ð²ÐºÐ¸ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¾Ð³Ð¾ Ð´Ð¸Ð°Ð³Ð½Ð¾Ð·Ð°
Ð½ÐµÑÐµÑÐºÐ¸Ðµ Ð¼Ð½Ð¾Ð¶ÐµÑÑÐ²Ð°
ÑÐµÑÐ¿Ð¸ÑÐ°ÑÐ¾ÑÐ½ÑÐµ Ð·Ð°Ð±Ð¾Ð»ÐµÐ²Ð°Ð½Ð¸Ñ
probabilistic methods of medical diagnostics
fuzzy sets
respiratory diseases

description: ÐÐ¾Ð²Ð°Ñ ÐºÐ¾ÑÐ¾Ð½Ð°Ð²Ð¸ÑÑÑÐ½Ð°Ñ Ð¸Ð½ÑÐµÐºÑÐ¸Ñ Sar-CoV-2 Ð¸Ð¼ÐµÐµÑ Ð½ÐµÑÐµÑÐºÑÑ ÑÑÐ¾ÑÐ°ÑÑÐ¸ÑÐµÑÐºÑÑ Ð¿ÑÐ¸ÑÐ¾Ð´Ñ ÑÐ¸Ð¼Ð¿ÑÐ¾Ð¼Ð¾Ð², ÑÑÐ¾Ð¶ÑÑ Ñ Ð¿ÑÐ¸ÑÐ¾Ð´Ð¾Ð¹ Ð´ÑÑÐ³Ð¸Ñ ÑÐµÑÐ¿Ð¸ÑÐ°ÑÐ¾ÑÐ½ÑÑ Ð·Ð°Ð±Ð¾Ð»ÐµÐ²Ð°Ð½Ð¸Ð¹, ÑÑÐ¾ Ð·Ð½Ð°ÑÐ¸ÑÐµÐ»ÑÐ½Ð¾ Ð·Ð°ÑÑÑÐ´Ð½ÑÐµÑ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÑ Covid-19. ÐÐ¾Ð»ÑÑÐµÐ½Ð¸Ðµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² Ð´Ð¸ÑÑÐµÑÐµÐ½ÑÐ¸Ð°ÑÐ¸Ð¸ Ð¿Ð°ÑÐ¸ÐµÐ½ÑÐ°, Ð¸Ð½ÑÐ¸ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð³Ð¾ Covid-19, Ð¾Ñ Ð½Ðµ Ð¸Ð½ÑÐ¸ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð³Ð¾ Ð¿Ð°ÑÐ¸ÐµÐ½ÑÐ° Ð½Ð° ÑÐ°Ð½Ð½Ð¸Ñ ÑÑÐ°Ð¿Ð°Ñ Ð·Ð°Ð±Ð¾Ð»ÐµÐ²Ð°Ð½Ð¸Ñ ÑÐ²Ð»ÑÐµÑÑÑ Ð¾ÑÐ½Ð¾Ð²Ð½Ð¾Ð¹ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼Ð¾Ð¹ Ð² ÑÑÐ»Ð¾Ð²Ð¸ÑÑ ÐºÐ¾ÑÐ¾Ð½Ð°Ð²Ð¸ÑÑÑÐ½Ð¾Ð¹ Ð¿Ð°Ð½Ð´ÐµÐ¼Ð¸Ð¸. ÐÐ°Ð´Ð°ÑÑ Ð´Ð¸ÑÑÐµÑÐµÐ½ÑÐ¸Ð°ÑÐ¸Ð¸ Ð¿Ð°ÑÐ¸ÐµÐ½ÑÐ° Ð¼Ð¾Ð¶Ð½Ð¾ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÑÑ ÐºÐ°Ðº ÐºÐ»Ð°ÑÑÐ¸ÑÐµÑÐºÑÑ Ð·Ð°Ð´Ð°ÑÑ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸. ÐÐ»Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°ÑÐ¸ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð² Ð´Ð°Ð½Ð½Ð¾Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ð¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¸Ð·Ð¸ÑÑÐµÑÑÑ Ð°Ð»Ð³ÐµÐ±ÑÐ°Ð¸ÑÐµÑÐºÐ°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ Â«ÐÐÐ ÐÂ», Ð° ÑÐ°ÐºÐ¶Ðµ ÐµÐµ Ð²ÐµÑÐ¾ÑÑÐ½Ð¾ÑÑÐ½ÑÐµ Ð¸ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÐ½ÑÐµ Ð¼Ð¾Ð´Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸, ÑÐ´Ð¾Ð²Ð»ÐµÑÐ²Ð¾ÑÑÑÑÐ¸Ðµ ÑÐ²ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¸Ð¼ Ð¿ÑÐµÐ´Ð¿Ð¾Ð»Ð¾Ð¶ÐµÐ½Ð¸ÑÐ¼, Ð¿ÑÐµÐ´ÑÑÐ²Ð»ÑÐµÐ¼ÑÐµ Ðº Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ Â«ÐÐÐ Ð". ÐÐ° ÐµÐµ Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð° Ð¸ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð° Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ¸ Covid-19, Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÑÐ°ÐºÐ¸Ñ ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ð¹ ÐºÐ°Ðº Python, SQLite, SQLAlchemy, Flask Ð¸ Docker.
description: The new coronavirus infection SARS-CoV-2 has a fuzzy stochastic nature of symptoms similar to the nature of other respiratory diseases, making the diagnosis of COVID-19 significantly difficult. Obtaining the results, which differentiate a patient infected with COVID-19 from an uninfected patient in the early stages of the disease, is a major challenge during the coronavirus pandemic. Patient differentiation can be viewed as an ordinary classification problem. In this study, to solve the classification problem, the algebraic model "KORA" is proposed, as well as its probabilistic and feasible modifications that satisfy the heuristic assumptions applied to the algorithm "KORA". Based on the results of the study, an information system for the diagnosis of COVID-19 was designed and developed using technologies such as Python, SqLite, SqlAlchemy, Flask Ð¸ Docker.