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undergraduate thesis
Mobilna Android aplikacija za potporu pri izboru prikladnog lijeka
2019. urn:nbn:hr:200:392022
Bilić, David
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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Bilić, D. (2019). Mobilna Android aplikacija za potporu pri izboru prikladnog lijeka (Undergraduate thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:392022

Bilić, David. "Mobilna Android aplikacija za potporu pri izboru prikladnog lijeka." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2019. https://urn.nsk.hr/urn:nbn:hr:200:392022

Bilić, David. "Mobilna Android aplikacija za potporu pri izboru prikladnog lijeka." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2019. https://urn.nsk.hr/urn:nbn:hr:200:392022

Bilić, D. (2019). 'Mobilna Android aplikacija za potporu pri izboru prikladnog lijeka', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 21 May 2022, https://urn.nsk.hr/urn:nbn:hr:200:392022

Bilić D. Mobilna Android aplikacija za potporu pri izboru prikladnog lijeka [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2019 [cited 2022 May 21] Available at: https://urn.nsk.hr/urn:nbn:hr:200:392022

D. Bilić, "Mobilna Android aplikacija za potporu pri izboru prikladnog lijeka", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:200:392022

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Metadata
TitleMobilna Android aplikacija za potporu pri izboru prikladnog lijeka
Title (english)Mobile Android application for suitable pharmaceutical selection support
AuthorDavid Bilić
MentorGoran Martinović (mentor)
Committee memberGoran Martinović (predsjednik povjerenstva)
Committee memberZdravko Krpić (član povjerenstva)
Committee memberDean Vučinić (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 country2019-09-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
Cilj završnog rada je razrada modela mobilne Android aplikacije s ciljem pružanja potpore za izbor najprikladnijeg lijeka, što je pokazano za arterijsku hipertenziju korištenjem metode eliminiranja i prioritetnog sortiranja prikladnih lijekova. Aplikacija je ostvarena u programskom jeziku Java pomoću razvojnog okruženja Android Studio. Baza podataka je ostvarena pomoću platforme Firebase, te njezine dvije usluge – Authentication, te Realtime Database. Korisniku je omogućen unos vrijednosti krvnih tlakova, te čimbenika rizika koji određuju prikladan tip terapije. Zatim, ako je potrebna farmakološka terapija, korisnik unosi svoje dodatne kontraindikacije i indikacije, te dobiva listu prikladnih lijekova sortiranih po broju indikacija. Aplikacija također generira osnovna upozorenja za kombiniranje lijekova. Korisnik na kraju ima mogućnost odabira svojih nuspojava, te unosa novih, nepostojećih, u bazu podataka. Ispitivanjem funkcionalnosti aplikacije za tri slučaja koji predstavljaju moguće ulazne parametre bolesnika, utvrđeno je da aplikacija omogućuje navedene funkcionalnosti i daje ispravne rezultate, odnosno omogućuje ispravan izbor lijeka za unesene čimbenike rizika, te ostale ulazne parametre. Ova aplikacija može se nadograditi dodatnim funkcionalnostima i aktivnostima, te drugim skupinama bolesti i lijekova koji bi proširili njezinu primjenu.
Abstract (english)
The aim of this final paper is to develop a model of a mobile Android application in order to support the selection of the most appropriate drug, as demonstrated for arterial hypertension using the method of elimination and prioritization of suitable drugs. The application is written in the Java programming language in the Android Studio development environment. The database was created using the Firebase platform and its two services - Authentication and Realtime Database. The user is allowed to enter blood pressure values and risk factors that determine the appropriate type of therapy. Then, if pharmacological therapy is required, the user enters their additional contraindications and indications, and receives a list of suitable medications sorted by number of indications. The app also generates basic alerts for combining drugs. In the end, the user has the opportunity to select their side effects and to enter new, nonexistent ones in the database. By examining the functionality of the application for three cases that represent possible patient input parameters, it was found that the application provides the stated functionality and gives the correct results, that is, enables the correct choice of medicine for the entered risk factors, and other input parameters. This application can be upgraded with additional functionalities and activities, and other disease and drug classes that would expand its application.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:392022
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
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Created on2019-11-11 13:28:52