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master's thesis
Web sustav za potporu biomedicinskoj dijagnostici zasnovan na klasificiranju
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. urn:nbn:hr:200:863234
Dumančić, Andrija
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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Dumančić, A. (2018). Web sustav za potporu biomedicinskoj dijagnostici zasnovan na klasificiranju (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:200:863234

Dumančić, Andrija. "Web sustav za potporu biomedicinskoj dijagnostici zasnovan na klasificiranju." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:200:863234

Dumančić, Andrija. "Web sustav za potporu biomedicinskoj dijagnostici zasnovan na klasificiranju." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:200:863234

Dumančić, A. (2018). 'Web sustav za potporu biomedicinskoj dijagnostici zasnovan na klasificiranju', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 04 June 2023, https://urn.nsk.hr/urn:nbn:hr:200:863234

Dumančić A. Web sustav za potporu biomedicinskoj dijagnostici zasnovan na klasificiranju [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2018 [cited 2023 June 04] Available at: https://urn.nsk.hr/urn:nbn:hr:200:863234

A. Dumančić, "Web sustav za potporu biomedicinskoj dijagnostici zasnovan na klasificiranju", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:200:863234

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Metadata
TitleWeb sustav za potporu biomedicinskoj dijagnostici zasnovan na klasificiranju
Title (english)Web system for biomedical diagnostics support based on classification
AuthorAndrija Dumančić
MentorGoran Martinović (mentor)
Committee memberGoran Martinović (predsjednik povjerenstva)
Committee memberKrešimir Nenadić (član povjerenstva)
Committee memberAlfonzo Baumgartner (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 country2018-03-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
U ovom diplomskom radu osmišljena je i razvijena web aplikacija koja omogućuje prikaz moguće dijagnoze bolesti na temelju unesenih simptoma. Cilj je bio napraviti web aplikaciju koja što točnije prikazuje mogućnost nastanka bolesti. Glavni dio aplikacije je izrađen pomoću PHP-a u programskom okviru Laravel. Kao dodatak PHP-u, koristio se CSS za vizualno oblikovanje, te HTML. Nakon što je aplikacija testirana, utvrđeno je da aplikacija radi ispravno i da algoritam klasificiranja dobro povezuje simptome s mogućim bolestima. Korisnicima je omogućena provjera sumnje na bolest tako da unose simptome koje osjećaju, ali konačnu dijagnozu postavlja liječnik.
Abstract (english)
In this graduate thesis, a developed web application enables the presentation of possible diagnoses of the disease based on the entered symptoms. The goal was to create a web application that more accurately describes the possibility of developing the disease. The main part of the application was created using PHP in Laravel framework. In addition to PHP, they used CSS for visual formatting and HTML. Once the app has been tested, it has been determined that the application is working properly and that the classification algorithm is well linked to symptoms with possible disease. Users are enabled to check suspected illness by entering the symptoms they feel, but the final diagnosis is set by the doctor.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:863234
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
RepositoryFaculty of Electrical Engineering, Computer Science and Information Technology Osijek
Created on2018-03-23 15:45:14