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master's thesis
Detekcija oboljenja na temelju genetskih značajki
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:702097
Čolaković, Sofia
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Čolaković, S. (2015). Detekcija oboljenja na temelju genetskih značajki (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:702097

Čolaković, Sofia. "Detekcija oboljenja na temelju genetskih značajki." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:702097

Čolaković, Sofia. "Detekcija oboljenja na temelju genetskih značajki." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:702097

Čolaković, S. (2015). 'Detekcija oboljenja na temelju genetskih značajki', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:702097

Čolaković S. Detekcija oboljenja na temelju genetskih značajki [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 December 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:702097

S. Čolaković, "Detekcija oboljenja na temelju genetskih značajki", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:702097

Metadata
TitleDetekcija oboljenja na temelju genetskih značajki
Title (english)Detecting Complex Diseases Using Genetic Features
AuthorSofia Čolaković
MentorDomagoj Jakobović (mentor)
Committee memberDomagoj Jakobović (predsjednik povjerenstva)
Committee memberMarko Čupić (član povjerenstva)
Committee memberLeonardo Jelenković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu istažen je problem detekcije složenih bolesti na temelju genetskih značajki. Predloženo rješnje uključuje odabir značajki uz pomoć genetskog algoritma te detekciju bolesti algoritmima strojnog učenja. Predložen je postupak pronalaženja funkcije cilja za odabir značajki korištenjem genetskog programiranja. Rješenje je ispitano na skupu podataka prikupljenom od pacijenata s reumatoidnim artritisom. Rezultati ispitivanja i zaključi priloženi su radu.
Abstract (english)
This thesis explores the problem of complex disease detection using genetic data. The proposed solution is based on feature selection using genetic algorithm and disease detection using machine learning algorithms. A method for deriving an optimal goal function based on genetic programming is introduced and examined. The proposed solution is tested on a dataset containing data collected from rheumatoid arthritis patients. The results are presented and discussed.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:702097
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2018-02-06 08:17:44