Analiza zdravstvenih navika mladih korištenjem otkrivanja znanja iz baza podataka

Šimunec, Iva

prikaz prve stranice dokumenta Analiza zdravstvenih navika mladih korištenjem otkrivanja znanja iz baza podataka

Access restricted to authenticated users

master's thesis

Analiza zdravstvenih navika mladih korištenjem otkrivanja znanja iz baza podataka

Zagreb: University of Zagreb, Faculty of Economics and Business, 2021. urn:nbn:hr:148:807088

Šimunec, Iva

University of Zagreb
Faculty of Economics and Business
Department of Informatics

Cite this document

APA 6th Edition

Šimunec, I. (2021). Analiza zdravstvenih navika mladih korištenjem otkrivanja znanja iz baza podataka (Master's thesis). Zagreb: University of Zagreb, Faculty of Economics and Business. Retrieved from https://urn.nsk.hr/urn:nbn:hr:148:807088

MLA 8th Edition

Šimunec, Iva. "Analiza zdravstvenih navika mladih korištenjem otkrivanja znanja iz baza podataka." Master's thesis, University of Zagreb, Faculty of Economics and Business, 2021. https://urn.nsk.hr/urn:nbn:hr:148:807088

Chicago 17th Edition

Harvard

Šimunec, I. (2021). 'Analiza zdravstvenih navika mladih korištenjem otkrivanja znanja iz baza podataka', Master's thesis, University of Zagreb, Faculty of Economics and Business, accessed 27 March 2025, https://urn.nsk.hr/urn:nbn:hr:148:807088

Vancouver

Šimunec I. Analiza zdravstvenih navika mladih korištenjem otkrivanja znanja iz baza podataka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Economics and Business; 2021 [cited 2025 March 27] Available at: https://urn.nsk.hr/urn:nbn:hr:148:807088

IEEE

I. Šimunec, "Analiza zdravstvenih navika mladih korištenjem otkrivanja znanja iz baza podataka", Master's thesis, University of Zagreb, Faculty of Economics and Business, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:148:807088

Cite this item: https://urn.nsk.hr/urn:nbn:hr:148:807088

Please login to the repository to save this object to your list.

Metadata

Title	Analiza zdravstvenih navika mladih korištenjem otkrivanja znanja iz baza podataka
Title (english)	Analysis of health habits of young people by extracting knowledge from database
Author	Iva Šimunec
Mentor	Mirjana Pejić Bach (mentor)
Committee member	Ivan Strugar (predsjednik povjerenstva)
Committee member	Jovana Zoroja (član povjerenstva)
Granter	University of Zagreb Faculty of Economics and Business (Department of Informatics) Zagreb
Defense date and country	2021-09-22, Croatia
Scientific / art field, discipline and subdiscipline	SOCIAL SCIENCES Economics Business Informatics
Abstract	Zbog globalne pandemije koronavirusa koja u trenutku pisanja rada vlada svijetom, prepoznata je važnost analize zdravstvenih navika mladog stanovništva Republike Hrvatske. S obzirom na to da lijek za navedeni virus nije otkriven, održavanje imuniteta i zdravlja organizma je dobilo sve veću važnost. Analiza je provedena korištenjem programa za rudarenje podataka Weka. Podaci za analizu su prikupljeni putem javno dostupne ankete, dok su većina pitanja preuzeta sa stranice Hrvatskog zavoda za javno zdravstvo. Osim analize zdravstvenih navika, provedena je klaster analiza, algoritmom k-srednjih vrijednosti, kako bi se pronašla povezanost između zdravstvenih navika i oboljenja od COVID-19 bolesti i na taj način pronašla moguća mjera zaštite od bolesti koja je napala svijet. Promatrani podaci su svrstani u deset grupa (klastera) gdje su se analizirali atributi klastera s klasom oboljelih od koronavirusa, kako bi se pronašao obrazac povezanosti.
Abstract (english)	Due to the global coronavirus pandemic that rules the world at the time of writing, the importance of analyzing the health habits of the young population has been recognized. Since the cure for this virus has not been discovered, improving immunity and general health has become increasingly important. The analysis was performed using Weka’s data mining program. Data for analysis were collected through a publicly available questionnaire, while most questions were taken from the website of the Croatian Institute of Public Health. In addition to health habits analysis, a cluster analysis was performed using the kmeans algorithm to find the association between health habits and COVID-19 disease and thus find a possible measure of protection against the disease. The observed data were classified into ten groups (clusters) where the attributes of the cluster with the class of coronavirus patients were analyzed to find a pattern of association.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:148:807088
Study programme	Title: Business Economics Study programme type: university Study level: integrated undergraduate and graduate Academic / professional title: magistar/magistra ekonomije (magistar/magistra ekonomije)
Type of resource	Text
File origin	Born digital
Access conditions	Access restricted to authenticated users
Terms of use
Repository	REPEFZG
Created on	2021-09-22 10:42:08