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master's thesis
Predikcija raka pluća primjenom metoda strojnog učenja
Varaždin: University of Zagreb, Faculty of Organization and Informatics, 2022. urn:nbn:hr:211:606579
Šereg, Matija
University of Zagreb
Faculty of Organization and Informatics
Department of Information Systems Development

Institutional repository: Faculty of Organization and Informatics - Digital Repository

Cite this document

Šereg, M. (2022). Predikcija raka pluća primjenom metoda strojnog učenja (Master's thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:606579

Šereg, Matija. "Predikcija raka pluća primjenom metoda strojnog učenja." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2022. https://urn.nsk.hr/urn:nbn:hr:211:606579

Šereg, Matija. "Predikcija raka pluća primjenom metoda strojnog učenja." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2022. https://urn.nsk.hr/urn:nbn:hr:211:606579

Šereg, M. (2022). 'Predikcija raka pluća primjenom metoda strojnog učenja', Master's thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 06 July 2024, https://urn.nsk.hr/urn:nbn:hr:211:606579

Šereg M. Predikcija raka pluća primjenom metoda strojnog učenja [Master's thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2022 [cited 2024 July 06] Available at: https://urn.nsk.hr/urn:nbn:hr:211:606579

M. Šereg, "Predikcija raka pluća primjenom metoda strojnog učenja", Master's thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:211:606579

Metadata
TitlePredikcija raka pluća primjenom metoda strojnog učenja
Title (english)Prediction of lung cancer using machine learning methods
AuthorMatija Šereg
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 country2022-09-19, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
U radu su opisane korištene metode strojnog učenja te CRISP DM metodologija prema kojoj su izrađeni modeli predikcije. Nadalje je napravljena analiza prethodnih istraživanja koja se tiču izrade modela predikcije raka pluća. Glavni dio rada predstavlja izradu modela predikcije raka pluća primjenom tri metoda strojnog učenja tj. stabla odlučivanja, neuronske mreže te Bayesove mreže.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:606579
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 on2022-09-26 04:19:20