title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼Ð¾Ð´ÑÐ»Ñ Ð´Ð»Ñ Ð¾ÑÐµÐ½ÐºÐ¸ Ð²Ð»Ð¸ÑÐ½Ð¸Ñ Ð¿Ð¾Ð¿ÑÐ»ÑÑÐ½ÑÑ Ð»ÐµÐºÐ°ÑÑÑÐ²ÐµÐ½Ð½ÑÑ Ð¿ÑÐµÐ¿Ð°ÑÐ°ÑÐ¾Ð² Ð¾Ñ ÐºÐ¾ÑÐ¾Ð½Ð°Ð²Ð¸ÑÑÑÐ½Ð¾Ð¹ Ð¸Ð½ÑÐµÐºÑÐ¸Ð¸ Ð½Ð° ÑÐµÑÐµÐ½Ð¸Ðµ Ð±Ð¾Ð»ÐµÐ·Ð½Ð¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development of a module to assess the effect of popular drugs for coronavirus infection on the course of the disease
Creators: name: ÐÑÑÑÐ´Ð¸Ð½Ð°, 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: 2022
Subjects: Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ
Ð±Ð°Ð·Ð° Ð´Ð°Ð½Ð½ÑÑ
Ð²ÐµÐ±-Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ðµ
ÐºÐ¾ÑÐ¾Ð½Ð°Ð²Ð¸ÑÑÑÐ½Ð°Ñ Ð¸Ð½ÑÐµÐºÑÐ¸Ñ
Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ°Ñ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð°
data analysis
database
web application
coronavirus disease
medical information system

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: Â«Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼Ð¾Ð´ÑÐ»Ñ Ð´Ð»Ñ Ð¾ÑÐµÐ½ÐºÐ¸ Ð²Ð»Ð¸ÑÐ½Ð¸Ñ Ð¿Ð¾Ð¿ÑÐ»ÑÑÐ½ÑÑ Ð»ÐµÐºÐ°ÑÑÑÐ²ÐµÐ½Ð½ÑÑ Ð¿ÑÐµÐ¿Ð°ÑÐ°ÑÐ¾Ð² Ð¾Ñ ÐºÐ¾ÑÐ¾Ð½Ð°Ð²Ð¸ÑÑÑÐ½Ð¾Ð¹ Ð¸Ð½ÑÐµÐºÑÐ¸Ð¸ Ð½Ð° ÑÐµÑÐµÐ½Ð¸Ðµ Ð±Ð¾Ð»ÐµÐ·Ð½Ð¸Â».Ð¦ÐµÐ»ÑÑ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð³Ð¾ Ð¼Ð¾Ð´ÑÐ»Ñ Ð´Ð»Ñ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð²Ð»Ð¸ÑÐ½Ð¸Ñ Ð¿Ð¾Ð¿ÑÐ»ÑÑÐ½ÑÑ Ð»ÐµÐºÐ°ÑÑÑÐ²ÐµÐ½Ð½ÑÑ Ð¿ÑÐµÐ¿Ð°ÑÐ°ÑÐ¾Ð² Ð¾Ñ ÐºÐ¾ÑÐ¾Ð½Ð°Ð²Ð¸ÑÑÑÐ½Ð¾Ð¹ Ð¸Ð½ÑÐµÐºÑÐ¸Ð¸ Ð½Ð° ÑÐµÑÐµÐ½Ð¸Ðµ Ð±Ð¾Ð»ÐµÐ·Ð½Ð¸ Ð¿Ð°ÑÐ¸ÐµÐ½ÑÐ¾Ð², Ð²ÑÐ±ÑÐ°Ð½Ð½ÑÑ Ð¿Ð¾ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ°Ð¼.Ð ÑÐ¾Ð´Ðµ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ» Ð¿ÑÐ¾Ð¸Ð·Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð·Ð°Ð´Ð°Ð½Ð¸Ñ, Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¾Ñ Ð³Ð¾ÑÐ¾Ð´ÑÐºÐ¾Ð¹ Ð±Ð¾Ð»ÑÐ½Ð¸ÑÑ â40, Ð±ÑÐ»Ð¸ ÑÑÐ¾ÑÐ¼ÑÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ñ ÑÑÐµÐ±Ð¾Ð²Ð°Ð½Ð¸Ñ Ðº ÑÐ°Ð·ÑÐ°Ð±Ð°ÑÑÐ²Ð°ÐµÐ¼Ð¾Ð¼Ñ Ð¼Ð¾Ð´ÑÐ»Ñ. Ð ÑÐ°ÑÑÐ¸ ÑÐ°Ð±Ð¾ÑÑ, Ð¿ÑÐµÐ´ÑÐµÑÑÐ²ÑÑÑÐµÐ¹ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¼Ð¾Ð´ÑÐ»Ñ, Ð±ÑÐ»Ð¾ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ Ð¸Ð·ÑÑÐµÐ½Ð¸Ðµ Ð¿ÑÐµÐ´Ð¼ÐµÑÐ½Ð¾Ð¹ Ð¾Ð±Ð»Ð°ÑÑÐ¸ Ð¸ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ ÑÐµÑÐµÐ½Ð¸Ð¹, Ð²ÑÐ±Ð¾Ñ ÑÑÐµÐ´ÑÑÐ² ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¼Ð¾Ð´ÑÐ»Ñ, Ð° ÑÐ°ÐºÐ¶Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¸ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼Ð°ÑÑÐ¸Ð²Ð° Ð´Ð°Ð½Ð½ÑÑ Ð¿Ð°ÑÐ¸ÐµÐ½ÑÐ¾Ð², Ð³Ð¾ÑÐ¿Ð¸ÑÐ°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÑ Ð² Ð³Ð¾ÑÐ¾Ð´ÑÐºÐ¾Ð¹ Ð±Ð¾Ð»ÑÐ½Ð¸ÑÐµ â40 Ñ ÐºÐ¾ÑÐ¾Ð½Ð°Ð²Ð¸ÑÑÑÐ½Ð¾Ð¹ Ð¸Ð½ÑÐµÐºÑÐ¸ÐµÐ¹ ÑÐ°Ð·Ð½Ð¾Ð¹ ÑÑÐµÐ¿ÐµÐ½Ð¸ ÑÑÐ¶ÐµÑÑÐ¸.ÐÐ¾Ð´ÑÐ»Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½ Ð½Ð° ÑÐ·ÑÐºÐµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Python Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÑÑÐµÐ¹Ð¼Ð²Ð¾ÑÐºÐ° Ð´Ð»Ñ Ð²ÐµÐ±-Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Flask Ð¸ ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²ÑÐµÑ ÑÑÐ¾ÑÐ¼ÑÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÐ¼ Ð² Ð½Ð°ÑÐ°Ð»Ðµ ÑÐ°Ð±Ð¾ÑÑ ÑÑÐµÐ±Ð¾Ð²Ð°Ð½Ð¸ÑÐ¼.
description: The subject of the graduate qualification work is Â«Development of a module to assess the effect of popular drugs for coronavirus infection on the course of the diseaseÂ».The aim of the work is to develop a software module for effective analysis of the influence of popular drugs for coronavirus infection on the course of the disease of patients selected by parameters. In the course of the work, the technical task from City Hospital â 40 was analyzed and the requirements for the module were formulated.In the part of work, preceding the implementation of the module, the subject area and existing solutions were studied, the means of implementation were chosen, also an array of data of patients hospitalized at city hospital â 40 with coronavirus infection of different severity level was processed.Module was implemented in the Python programming language using Flask web programming framework and meets the requirements formulated at the beginning of the work.