Development of a module to assess the effect of popular drugs for coronavirus infection on the course of the disease
| Jazyk: | ruština |
|---|---|
| Rok vydání: | 2022 |
| Předmět: | |
| DOI: | 10.18720/spbpu/3/2022/vr/vr22-985 |
| Popis: | Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «РазÑабоÑка модÑÐ»Ñ Ð´Ð»Ñ Ð¾Ñенки влиÑÐ½Ð¸Ñ Ð¿Ð¾Ð¿ÑлÑÑнÑÑ Ð»ÐµÐºÐ°ÑÑÑвеннÑÑ Ð¿ÑепаÑаÑов Ð¾Ñ ÐºÐ¾ÑонавиÑÑÑной инÑекÑии на ÑеÑение болезни».ЦелÑÑ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑабоÑÑ ÑвлÑеÑÑÑ ÑазÑабоÑка пÑогÑаммного модÑÐ»Ñ Ð´Ð»Ñ ÑÑÑекÑивного анализа влиÑÐ½Ð¸Ñ Ð¿Ð¾Ð¿ÑлÑÑнÑÑ Ð»ÐµÐºÐ°ÑÑÑвеннÑÑ Ð¿ÑепаÑаÑов Ð¾Ñ ÐºÐ¾ÑонавиÑÑÑной инÑекÑии на ÑеÑение болезни паÑиенÑов, вÑбÑаннÑÑ Ð¿Ð¾ паÑамеÑÑам.Ð Ñ Ð¾Ð´Ðµ вÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ ÑабоÑÑ Ð±Ñл пÑоизведен анализ ÑÐµÑ Ð½Ð¸ÑеÑкого заданиÑ, полÑÑенного Ð¾Ñ Ð³Ð¾ÑодÑкой болÑниÑÑ â40, бÑли ÑÑоÑмÑлиÑÐ¾Ð²Ð°Ð½Ñ ÑÑÐµÐ±Ð¾Ð²Ð°Ð½Ð¸Ñ Ðº ÑазÑабаÑÑÐ²Ð°ÐµÐ¼Ð¾Ð¼Ñ Ð¼Ð¾Ð´ÑлÑ. Ð ÑаÑÑи ÑабоÑÑ, пÑедÑеÑÑвÑÑÑей ÑеализаÑии модÑлÑ, бÑло пÑоведено изÑÑение пÑедмеÑной облаÑÑи и ÑÑÑеÑÑвÑÑÑÐ¸Ñ ÑеÑений, вÑÐ±Ð¾Ñ ÑÑедÑÑв ÑеализаÑии модÑлÑ, а Ñакже иÑÑледование и обÑабоÑка маÑÑива даннÑÑ Ð¿Ð°ÑиенÑов, гоÑпиÑализиÑованнÑÑ Ð² гоÑодÑкой болÑниÑе â40 Ñ ÐºÐ¾ÑонавиÑÑÑной инÑекÑией Ñазной ÑÑепени ÑÑжеÑÑи.ÐодÑÐ»Ñ Ñеализован на ÑзÑке пÑогÑаммиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Python Ñ Ð¸ÑполÑзованием ÑÑеймвоÑка Ð´Ð»Ñ Ð²ÐµÐ±-пÑогÑаммиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Flask и ÑооÑвеÑÑÑвÑÐµÑ ÑÑоÑмÑлиÑованнÑм в наÑале ÑабоÑÑ ÑÑебованиÑм. The subject of the graduate qualification work is «Development of a module to assess the effect of popular drugs for coronavirus infection on the course of the disease».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. |
| Databáze: | OpenAIRE |
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