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undergraduate thesis
Dijagnoza diabetesa putem strojnog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:412878
Horvat, Bruno
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Horvat, B. (2020). Dijagnoza diabetesa putem strojnog učenja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:412878

Horvat, Bruno. "Dijagnoza diabetesa putem strojnog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:412878

Horvat, Bruno. "Dijagnoza diabetesa putem strojnog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:412878

Horvat, B. (2020). 'Dijagnoza diabetesa putem strojnog učenja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:412878

Horvat B. Dijagnoza diabetesa putem strojnog učenja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 July 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:412878

B. Horvat, "Dijagnoza diabetesa putem strojnog učenja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:412878

Metadata
TitleDijagnoza diabetesa putem strojnog učenja
Title (english)Machine Learning for Diagnosis of Diabetes
AuthorBruno Horvat
MentorVladimir Čeperić (mentor)
Committee memberVladimir Čeperić (predsjednik povjerenstva)
Committee memberZoran Medić (član povjerenstva)
Committee memberIgor Stančin (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Fokus ovoga rada bio je na analizi algoritama strojnog učenja primijenjenih na problem dijagnoze dijabetesa. U uvodu je napisano o samome dijabetesu i njegovim tipovima, a nakon toga je definirano što je to strojno učenje. Zadan je problem određivanja algoritma učenja na skupu podataka te je analizirana preciznost svakog od unaprijed određenih algoritama. Kad je određen odgovarajući algoritam, bilo je potrebno izraditi grafičko sučelje prema korisniku. Grafičko sučelje prima samo realne brojeve i nije moguć unos bilo kakvog teksta ili sličnog. Za unos neke od vrijednosti koja nije realan broj, otvara se novi prozor koji izvještava korisnika o pogrešnom unosu. Za svaki dobar unos podataka, otvara se novi prozor koji sa sigurnošću od 74.8% tvrdi da osoba ima/nema dijabetes. Nakon svakog unosa podataka i detekcije dijabetesa, stari unos se briše i grafičko sučelje je spremno primiti nove parametre.
Abstract (english)
The focus of this project was to analyze machine learning algorithms applied to the problem of diabetes diagnosis. In the introduction, it was written about diabetes itself and its types, and after that it was defined what machine learning is. Then, it was defined the problem of determining the algorithm for learning the data and analyzing the accuracy of each of the predetermined algorithms. When the appropriate algorithm was selected, it was necessary to create a graphical user interface. The graphical interface only accepts real numbers and it is not possible to enter any text or similar. When a value other than a real number is entered, a new window opens informing the user of the incorrect input. For each good data input, a new window opens which claims that the person has/does not have diabetes with a certainty of 74.8%.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:412878
Study programmeTitle: Computing
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
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Created on2023-01-14 08:54:30