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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

Institutional repository: REPEFZG

Cite this document

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

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

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

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 August 2024, https://urn.nsk.hr/urn:nbn:hr:148:807088

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 2024 August 27] Available at: https://urn.nsk.hr/urn:nbn:hr:148:807088

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

Metadata
TitleAnaliza zdravstvenih navika mladih korištenjem otkrivanja znanja iz baza podataka
Title (english)Analysis of health habits of young people by extracting knowledge from database
AuthorIva Šimunec
MentorMirjana Pejić Bach (mentor)
Committee memberIvan Strugar (predsjednik povjerenstva)
Committee memberJovana Zoroja (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Economics and Business
(Department of Informatics)
Zagreb
Defense date and country2021-09-22, 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)
Languagecroatian
URN:NBNurn:nbn:hr:148:807088
Study programmeTitle: Business Economics
Study programme type: university
Study level: integrated undergraduate and graduate
Academic / professional title: magistar/magistra ekonomije (magistar/magistra ekonomije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2021-09-22 10:42:08