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master's thesis
Korištenje prediktivne analize u prevenciji mentalnih bolesti
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:247749
Franjić, Dorotea
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Franjić, D. (2022). Korištenje prediktivne analize u prevenciji mentalnih bolesti (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:247749

Franjić, Dorotea. "Korištenje prediktivne analize u prevenciji mentalnih bolesti." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:247749

Franjić, Dorotea. "Korištenje prediktivne analize u prevenciji mentalnih bolesti." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:247749

Franjić, D. (2022). 'Korištenje prediktivne analize u prevenciji mentalnih bolesti', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:247749

Franjić D. Korištenje prediktivne analize u prevenciji mentalnih bolesti [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:247749

D. Franjić, "Korištenje prediktivne analize u prevenciji mentalnih bolesti", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:247749

Metadata
TitleKorištenje prediktivne analize u prevenciji mentalnih bolesti
Title (english)The use of predictive analysis in the prevention of mental health illnesses
AuthorDorotea Franjić
MentorMarina Bagić Babac (mentor)
Committee memberMarina Bagić Babac (predsjednik povjerenstva)
Committee memberDragan Jevtić (član povjerenstva)
Committee memberTomislav Kos (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Prevencija je važan pristup poboljšanju mentalnog zdravlja što znači pravovremeno prepoznavanje i zaustavljanje razvoja, pogoršanja ili vraćanja problema mentalnog zdravlja. Rano otkrivanje i intervencija mogu pomoći u usporavanju pada kognitivnog funkcioniranja. Izazov ovog zadatka je otkriti znakove buduće psihoze dok su simptomi još uvijek suptilni i nejasni. Zbog nedavnog napretka u strojnom učenju i obradi prirodnog jezika, ovaj rad ima za cilj istražiti javno dostupne skupove podataka koji sadrže različite parametre kao što su genetske i fizičke karakteristike, na temelju kojih će se razviti računski modeli koji izračunavaju vjerojatnost budućih ishoda.
Abstract (english)
Prevention is an important approach to improving mental health which means timely recognition and suspension of mental health problems from developing, getting worse, or coming back. Early detection and intervention may help slow the decline in cognitive functioning. The challenging task is in how to detect the signs of future psychosis while symptoms are still subtle and indistinct. Due to recent advances in machine learning and natural language processing, this thesis aims to explore publicly available datasets containing various parameters such as genetic and physical characteristics, upon which computational models that calculate the likelihood of future outcomes, will be developed.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:247749
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-14 08:47:09