Analiza zdravstvenih navika mladih korištenjem otkrivanja znanja iz baza podataka

master's thesis

• 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: zdravlje; zdravstvene navike; rudarenje podataka; klaster analiza; algoritam ksrednjih vrijednosti; COVID-19
• Keywords (english): health; health habits; data mining; cluster analysis; k-mean algorithm; COVID-19
• 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
• Created on: 2021-09-22 10:42:08