Analiza socio-demografskih čimbenika dijabetesa korištenjem otkrivanja znanja iz baza podataka

master's thesis

• Title (english): Analysis of socio-demographic factors of diabetes using knowledge discovery from databases
• Author: Marija Burić
• Mentor: Mirjana Pejić Bach (mentor)
• Committee member: Božidar Jaković (član povjerenstva)
• Committee member: Nikola Vlahović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Economics and Business; (Department of Informatics); Zagreb
• Defense date and country: 2024-07-03, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Economics; Business Informatics

Abstract

Dijabetes je kronična bolest koju karakteriziraju povišene razine glukoze u krvi. U današnje vrijeme, bolest postaje sve češća, a očekuje se kako će broj oboljelih i dalje značajno rasti. Rastuća rasprostranjenost bolesti uzrokovana je rastućim stopama pretilosti, sjedilačkim načinom života i lošim prehrambenim navikama što ga čini ozbiljnim javnozdravstvenim problemom u modernom svijetu. Otkrivanje znanja u bazama podataka predstavlja iznimno korisnu strategiju u borbi protiv dijabetesa. Analizom podataka o pacijentima, genetskih podataka i podataka o načinu života, istraživači mogu otkriti nove uvide u uzroke i progresiju bolesti. Otkriveno znanje pomaže u razvoju učinkovitih strategija prevencije, poboljšanju rane dijagnoze i prilagođavanju terapije pojedinačnim pacijentima, u konačnici poboljšavajući kvalitetu života oboljelih i smanjujući teret bolesti na zdravstvene sustave.

Abstract (english)

Diabetes is a chronic disease characterized by elevated blood glucose levels. Nowadays, the disease is becoming more and more common, and it is expected that the number of patients will continue to grow significantly. The growing prevalence of the disease is caused by rising rates of obesity, sedentary lifestyles and poor eating habits, making it a serious public health problem in the modern world. Knowledge discovery in databases is an extremely useful strategy in the fight against diabetes. By analysing patient data, genetic data, and lifestyle data, researches can uncover new insights into the causes and progression of disease. Discovered knowledge helps in developing effective prevention strategies, improving early diagnosis and tailoring therapy to individual patients, ultimately improving the quality of life od patients and reducing the burden of disease on healthcare systems.

• Keywords: dijabetes; kvaliteta života; otkrivanje znanja iz baza podataka; klaster analiza
• Keywords (english): diabetes; life quality; knowledge discovery from databases; cluster analysis
• Language: croatian
• URN:NBN: urn:nbn:hr:148:002865
• Study programme: Title: Business economics; Study programme type: university; Study level: integrated undergraduate and graduate; Academic / professional title: sveučilišni magistar ekonomije/sveučilišna magistra ekonomije (sveučilišni magistar ekonomije/sveučilišna magistra ekonomije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-07-04 16:32:24