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undergraduate thesis
Mobilna aplikacija za potporu biomedicinskoj dijagnostici
2017. urn:nbn:hr:200:951380
Mikulić, Frane
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

Cite this document

Mikulić, F. (2017). Mobilna aplikacija za potporu biomedicinskoj dijagnostici (Undergraduate thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:951380

Mikulić, Frane. "Mobilna aplikacija za potporu biomedicinskoj dijagnostici." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:200:951380

Mikulić, Frane. "Mobilna aplikacija za potporu biomedicinskoj dijagnostici." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:200:951380

Mikulić, F. (2017). 'Mobilna aplikacija za potporu biomedicinskoj dijagnostici', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 29 January 2023, https://urn.nsk.hr/urn:nbn:hr:200:951380

Mikulić F. Mobilna aplikacija za potporu biomedicinskoj dijagnostici [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2017 [cited 2023 January 29] Available at: https://urn.nsk.hr/urn:nbn:hr:200:951380

F. Mikulić, "Mobilna aplikacija za potporu biomedicinskoj dijagnostici", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:200:951380

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Metadata
TitleMobilna aplikacija za potporu biomedicinskoj dijagnostici
Title (english)Mobile application for biomedical diagnostics support
AuthorFrane Mikulić
MentorGoran Martinović (mentor)
Committee memberGoran Martinović (predsjednik povjerenstva)
Committee memberZdravko Krpić (član povjerenstva)
Committee memberIvica Crnković (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 country2017-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
Cilj ovog završnog rada bio je izrada Android mobilne aplikacije, za potporu biomedicinskoj dijagnostici bolesti štitnjače. Aplikacija na temelju odabranih simptoma korisniku daje procjenu vjerojatnosti obolijevanja od jedne od četiri bolesti uzrokovane hormonalnim poremećajem štitnjače. To su bolesti hipotireoza, hipertireoza, adenomi te Grawes-Basedowljeva bolest. U radu su prikazane bolesti štitnjače te razrađena ideja i model ove mobilne aplikacije. Nadalje dan je osvrt na programske okoline, jezike i tehnologije koje se koriste pri izradi ove aplikacije, a to su Android Studio te SQLite podrška za izradu baze podataka. Također, objašnjen je postupak razvoja, ključni programski dijelovi aplikacije, a provedeno je i testiranje ispravnosti aplikacije na odgovarajućem skupu ulaznih podataka. Pokazalo se da aplikacija daje ispravne rezultate moguće dijagnoze.
Abstract (english)
The main goal of this final work was to make an Android application to supplement biomedicinal diagnostics of thyroid disease. The application based on chosen symptoms gives the user an assessment of probability of one of four illnesses caused by hormonal disorders of the thyroid. Those illnesses are hypothyroidism, hyperthyroidism, adenoma and Graves-Basedow disease. In this final work illnesses of the thyroid are shown and the idea and model of this mobile application are elaborated. Furthermore, a review of IDEs, programming languages and technologies used to make this app ia given and those are Android Studio and SQLite database support. Also, the development process and key parts of the application are explained and also the application was tested on corresponding input data to ensure accuracy. The results were accurate when compared to known diagnostics data.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:951380
Study programmeTitle: 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 resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2017-11-03 17:23:07