Web sustav za praćenje terapije za liječenje bolesti štitnjače statističkim postupcima analize podataka

Zemljak, Marija

undergraduate thesis

Web sustav za praćenje terapije za liječenje bolesti štitnjače statističkim postupcima analize podataka

Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. urn:nbn:hr:200:410847

Zemljak, Marija

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

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

APA 6th Edition

Zemljak, M. (2023). Web sustav za praćenje terapije za liječenje bolesti štitnjače statističkim postupcima 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:200:410847

MLA 8th Edition

Zemljak, Marija. "Web sustav za praćenje terapije za liječenje bolesti štitnjače statističkim postupcima analize podataka." Undergraduate 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:200:410847

Chicago 17th Edition

Harvard

Zemljak, M. (2023). 'Web sustav za praćenje terapije za liječenje bolesti štitnjače statističkim postupcima analize podataka', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 11 May 2024, https://urn.nsk.hr/urn:nbn:hr:200:410847

Vancouver

Zemljak M. Web sustav za praćenje terapije za liječenje bolesti štitnjače statističkim postupcima analize podataka [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2023 [cited 2024 May 11] Available at: https://urn.nsk.hr/urn:nbn:hr:200:410847

IEEE

M. Zemljak, "Web sustav za praćenje terapije za liječenje bolesti štitnjače statističkim postupcima analize podataka", Undergraduate 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:200:410847

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:410847

Metadata

Title	Web sustav za praćenje terapije za liječenje bolesti štitnjače statističkim postupcima analize podataka
Title (english)	Web system for monitoring therapy for the treatment of thyroid disease using statistical data analysis
Author	Marija Zemljak
Mentor	Goran Martinović (mentor)
Committee member	Bruno Zorić (predsjednik povjerenstva)
Granter	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) Osijek
Defense date and country	2023-09-11, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Program Engineering
Abstract	U ovom završnom radu osmišljena je i izrađen je web sustav za praćenje terapije za liječenje bolesti štitnjače i razvoj preporuka. Pri izradi aplikacije korišteni su JavaScript, CSS te HTML jezik, za stvaranje korisničkog računa korišten je Firebase Authentication, dok za pohranu osobnih podataka korisnika, njegove simptome i ostale vrijednosti vezane za njegovo medicinsko stanje, korišten je Cloud Firestore. Omogućena je registracija i prijava korisnika s dvije razine ovlasti, te pristup različitim funkcionalnostima ovisno o ovlasti. Praćenje terapije omogućeno je prikazom unesenih simptoma, rezultatom ispitivanja, kreiranom preporukom te unesenim razinama hormona štitnjače. Za analizu podataka i izračun rezultata ispitivanja korištena je logistička regresija. Stvaranje preporuka temelji se na zasebnom razmatranju simptoma i razina hormona, a u obzir se uzimaju i prethodno uneseni rezultati te terapija. Ispitivanjem aplikacije na tri različita slučaja utvrđen je ispravan rad aplikacije u smislu praćenja terapije i stvaranja preporuka.
Abstract (english)	In this final paper, a web system with a purpose of tracking therapy for the treatment of thyroid diseases and developing recommendations was designed and developed. The application was created using JavaScript, CSS, and HTML. Firebase Authentication was used to create a user account, while Cloud Firestore was used to store the user's personal data, symptoms, and other values related to their medical condition. Registration and login of users with two levels of authority is possible, as well as access to different functionalities depending on the authority. Therapy tracking is enabled by displaying the entered symptoms, test results, created recommendations and entered thyroid hormone levels. Logistic regression is used for data analysis and calculation of test results. The creation of recommendations is based on a separate assessment of symptoms and hormone levels. It also takes into account previously entered results and therapy. The application was tested on three different cases and the successful operation of the application was confirmed in terms of therapy tracking and the creation of recommendations.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:410847
Study programme	Title: Undergraduate University Study Programme in Computer Engineering Study programme type: university Study level: undergraduate Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Created on	2023-09-26 08:50:02

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