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master's thesis
Primjena adaptivnih modela za predikciju razine glukoze
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:814837
Mak, Matea
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Mak, M. (2020). Primjena adaptivnih modela za predikciju razine glukoze (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:814837

Mak, Matea. "Primjena adaptivnih modela za predikciju razine glukoze." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:814837

Mak, Matea. "Primjena adaptivnih modela za predikciju razine glukoze." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:814837

Mak, M. (2020). 'Primjena adaptivnih modela za predikciju razine glukoze', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:814837

Mak M. Primjena adaptivnih modela za predikciju razine glukoze [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 December 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:814837

M. Mak, "Primjena adaptivnih modela za predikciju razine glukoze", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:814837

Metadata
TitlePrimjena adaptivnih modela za predikciju razine glukoze
Title (english)Application of Adaptive Models for Glucose Prediction
AuthorMatea Mak
MentorRatko Magjarević (mentor)
Committee memberRatko Magjarević (predsjednik povjerenstva)
Committee memberIgor Lacković (član povjerenstva)
Committee memberŽeljka Lučev Vasić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Implementacija kratkotrajne predikcije razine glukoze u krvi ima višestruke prednosti, a najvažnija je održavanje razine glukoze u krvi u granicama normale. Konstantna razina glukoze u krvi koja je veća ili manja od poželjne može dovesti do brojnih zdrastvenih kompikacija. U ovome radu pobliže je opisan mehanizam kruženja glukoze u organizmu i problemi koji nastaju odstupanjem od tih procesa. Osim toga, opisani su adaptivni modeli i njihove primjene s naglaskom na primjenu kod predikcije razine glukoze u krvi. Opisan adaptivni model prilagođava se pojedinačno svakom korisniku optimizacijom pojedinih parametara, a analiza promjene tih parametara u vremenu glavna je tema ovog rada.
Abstract (english)
The most important of many advantages of implementing a short-term prediction of blood glucose levels is to keep blood glucose levels within normal limits. Constant high or low blood glucose levels can lead to a number of health complications. This paper describes the mechanism of glucose circulation in the body. Furthermore, adaptive models and their applications are described, with emphasis on application in the prediction of blood glucose levels. The described model is adapted to each user by optimizing individual parameters, and the analysis of changes in these parameters over time is the main topic of this paper.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:814837
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2023-01-13 12:56:51