prikaz prve stranice dokumenta Razvoj i testiranje web aplikacije sa sustavom stvaranja preporuka za potporu u dijagnosticiranju, liječenju i prehrani kod autoimunih bolesti
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master's thesis
Razvoj i testiranje web aplikacije sa sustavom stvaranja preporuka za potporu u dijagnosticiranju, liječenju i prehrani kod autoimunih bolesti
2023. urn:nbn:hr:200:396724
Mandić, Mihaela
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

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Mandić, M. (2023). Razvoj i testiranje web aplikacije sa sustavom stvaranja preporuka za potporu u dijagnosticiranju, liječenju i prehrani kod autoimunih bolesti (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:396724

Mandić, Mihaela. "Razvoj i testiranje web aplikacije sa sustavom stvaranja preporuka za potporu u dijagnosticiranju, liječenju i prehrani kod autoimunih bolesti." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:200:396724

Mandić, Mihaela. "Razvoj i testiranje web aplikacije sa sustavom stvaranja preporuka za potporu u dijagnosticiranju, liječenju i prehrani kod autoimunih bolesti." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:200:396724

Mandić, M. (2023). 'Razvoj i testiranje web aplikacije sa sustavom stvaranja preporuka za potporu u dijagnosticiranju, liječenju i prehrani kod autoimunih bolesti', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 20 April 2024, https://urn.nsk.hr/urn:nbn:hr:200:396724

Mandić M. Razvoj i testiranje web aplikacije sa sustavom stvaranja preporuka za potporu u dijagnosticiranju, liječenju i prehrani kod autoimunih bolesti [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2023 [cited 2024 April 20] Available at: https://urn.nsk.hr/urn:nbn:hr:200:396724

M. Mandić, "Razvoj i testiranje web aplikacije sa sustavom stvaranja preporuka za potporu u dijagnosticiranju, liječenju i prehrani kod autoimunih bolesti", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:200:396724

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Metadata
TitleRazvoj i testiranje web aplikacije sa sustavom stvaranja preporuka za potporu u dijagnosticiranju, liječenju i prehrani kod autoimunih bolesti
Title (english)Development and testing of a web application with recommendation system for support in diagnosis, treatment and nutrition in autoimmune diseases
AuthorMihaela Mandić
MentorGoran Martinović (mentor)
Committee memberGoran Martinović (predsjednik povjerenstva)
Committee memberAlfonzo Baumgartner (član povjerenstva)
Committee memberTomislav Galba (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Programming Languages and Systems)
Osijek
Defense date and country2023-09-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
U ovom diplomskom radu ostvaren je web sustav koji omogućuje potporu u dijagnosticiranju najčešćih autoimunih bolesti te preporuku prikladnih lijekova i prehrane s obzirom na osobine pacijenta i njegove dijagnosticirane bolesti. Opisani su izazovi i pristupi korišteni prilikom dijagnoze autoimunih bolesti te propisivanja lijekova i prehrane. Korištenjem višekriterijskog filtriranja omogućeno je stvaranje točnijih preporuka prema većem broju pacijentovih osobina. Aplikacija se temelji na arhitekturi Model-View-Controler, a razvijena je u programskom okviru Spring Boot. Za dinamički prikaz HTML-a koristi se Thymeleaf, za oblikovanje sučelja CSS i Bootstrap, a Javu za implementiranje logike aplikacije. Podaci se pohranjuju u PostgreSQL bazu podataka. Također, korištena su razvojna okruženja Visual Studio Code, IntelliJ IDEA, DBeaver i GitHub. Testiranje ostvarenog sustava obavljeno je na razini korisničkog sučelja putem ručnog i automatiziranog testiranja. Automatizirano testiranje je ostvareno korištenjem Ruby programskog jezika i korištenjem Cucumber alata. Testiranjem je potvrđeno ispunjenje funkcionalnih i nefunkcionalnih zahtjeva na sustav.
Abstract (english)
In this master's thesis, a web system has been developed to provide support for diagnosing the most common autoimmune diseases and recommending appropriate medications and diets based on the patient's characteristics and diagnosed diseases. The challenges and approaches used in the diagnosis of autoimmune diseases and the prescription of medications and diets are described. By using multicriteria filtering, more accurate recommendations can be generated based on a larger number of patient characteristics. The application is based on the ModelView-Controller architecture and was developed using the Spring Boot framework. Thymeleaf is used for dynamic HTML rendering, CSS and Bootstrap for interface styling, and Java for implementing application logic. Data is stored in a PostgreSQL database. Additionally, development environments such as Visual Studio Code, IntelliJ IDEA, DBeaver, and GitHub were utilized. Testing of the implemented system was carried out at the user interface level through manual and automated testing. Automated testing was achieved using the Ruby programming language and the Cucumber tool. Testing confirmed the fulfillment of both functional and non-functional requirements of the system.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:396724
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-10-09 08:29:03