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undergraduate thesis
Web aplikacija za procjenu rizika obolijevanja i praćenje tijeka bolesti probavnog sustava primjenom analize podataka
2024. urn:nbn:hr:200:706864
Vuica, Petra
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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Vuica, P. (2024). Web aplikacija za procjenu rizika obolijevanja i praćenje tijeka bolesti probavnog sustava primjenom analize podataka (Undergraduate 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:200:706864

Vuica, Petra. "Web aplikacija za procjenu rizika obolijevanja i praćenje tijeka bolesti probavnog sustava primjenom analize podataka." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:706864

Vuica, Petra. "Web aplikacija za procjenu rizika obolijevanja i praćenje tijeka bolesti probavnog sustava primjenom analize podataka." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:706864

Vuica, P. (2024). 'Web aplikacija za procjenu rizika obolijevanja i praćenje tijeka bolesti probavnog sustava primjenom analize podataka', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 10 December 2024, https://urn.nsk.hr/urn:nbn:hr:200:706864

Vuica P. Web aplikacija za procjenu rizika obolijevanja i praćenje tijeka bolesti probavnog sustava primjenom analize podataka [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2024 [cited 2024 December 10] Available at: https://urn.nsk.hr/urn:nbn:hr:200:706864

P. Vuica, "Web aplikacija za procjenu rizika obolijevanja i praćenje tijeka bolesti probavnog sustava primjenom analize podataka", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:200:706864

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Metadata
TitleWeb aplikacija za procjenu rizika obolijevanja i praćenje tijeka bolesti probavnog sustava primjenom analize podataka
Title (english)Web application for digestive diseases risk assessment and monitoring using data analysis
AuthorPetra Vuica
MentorGoran Martinović (mentor)
Committee memberGoran Martinović (predsjednik povjerenstva)
Committee memberGoran Knežević (član povjerenstva)
Committee memberZdravko Krpić (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 country2024-09-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
U ovom završnom radu osmišljena je i razvijena web aplikacija za procjenu obolijevanja i praćenja tijeka bolesti probavnog sustava. Aplikacija je razvijena korištenjem programskog okvira Django, programskog jezika Pythona, HTML-a i CSS-a. Ova aplikacija omogućava korisnicima registriranje i prijavu s različitim razinama ovlasti te pristup funkcionalnostima prilagođenim njihovoj ulozi. Pohrana osobnih podataka i praćenje simptoma oboljenja omogućeni su kroz sigurnu bazu podataka. Analiza podatka provodi se logističkom regresijom, dok se preporuke generiraju na temelju simptoma. Testiranjem aplikacije za različite slučajeve korištenja utvrđena je njena točnost i učinkovitost u praćenju zdravstvenog stanja i generiranju relevantnih preporuka.
Abstract (english)
In this paper, a web application was designed and developed for assessing the risk of digestive system diseases and monitoring their progression. The application was built using the Django framework, the Python programming language, HTML, and CSS. It allows users to register and log in with different levels of access, providing functionalities tailored to their roles. Personal data storage and symptom tracking are facilitated through a secure database. Data analysis is performed using logistic regression, while recommendations are generated based on the symptoms. Testing the application across various use cases demonstrated its accuracy and effectiveness in monitoring health conditions and generating relevant recommendations.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:706864
Study programmeTitle: Undergraduate University Study Programme in Computer Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/sveučilišna provostupnik/prvostupnica (baccalaureus/baccalaurea) inženjerka računarstva (sveučilišni/sveučilišna provostupnik/prvostupnica (baccalaureus/baccalaurea) inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-09-19 07:39:29