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master's thesis
Primjena algoritama strojnog učenja u predviđanju srčanih bolesti
2023. urn:nbn:hr:211:679233
Forjan, Dario
University of Zagreb
Faculty of Organization and Informatics
Department of Information Systems Development

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Forjan, D. (2023). Primjena algoritama strojnog učenja u predviđanju srčanih bolesti (Master's thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:679233

Forjan, Dario. "Primjena algoritama strojnog učenja u predviđanju srčanih bolesti." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2023. https://urn.nsk.hr/urn:nbn:hr:211:679233

Forjan, Dario. "Primjena algoritama strojnog učenja u predviđanju srčanih bolesti." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2023. https://urn.nsk.hr/urn:nbn:hr:211:679233

Forjan, D. (2023). 'Primjena algoritama strojnog učenja u predviđanju srčanih bolesti', Master's thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 07 May 2024, https://urn.nsk.hr/urn:nbn:hr:211:679233

Forjan D. Primjena algoritama strojnog učenja u predviđanju srčanih bolesti [Master's thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2023 [cited 2024 May 07] Available at: https://urn.nsk.hr/urn:nbn:hr:211:679233

D. Forjan, "Primjena algoritama strojnog učenja u predviđanju srčanih bolesti", Master's thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:211:679233

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Metadata
TitlePrimjena algoritama strojnog učenja u predviđanju srčanih bolesti
Title (english)Application of machine learning algorithms in predicting heart disease
AuthorDario Forjan
MentorDijana Oreški (mentor)
MBZ: 318615
Committee memberBožidar Kliček (član povjerenstva)
MBZ: 95426
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Information Systems Development)
Varaždin
Defense date and country2023-09-05, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
Cilj ovog rada je usporediti različite algoritme strojnog učenja na primjeru predviđanja srčane bolesti. Teorijski dio rada se sastoji od analize prethodnih istraživanja, opisa nekoliko metoda strojnog učenja (neuronske mreže, stablo odlučivanja), a u praktičnom dijelu se te metode primjenjuju na skupu podataka u domeni srčanih bolesti). Dobiveni rezultati različitih metoda se uspoređuju.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:679233
Study programmeTitle: Business Systems Organization
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra informatike (magistar/magistra informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution 3.0 Unported (CC BY 3.0) icon
Created on2023-09-11 04:01:51