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undergraduate thesis
Primjena umjetne inteligencije na područje medicine
Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences, 2021. urn:nbn:hr:131:929493
Havranek, Silvio
University of Zagreb
Faculty of Humanities and Social Sciences
Department of information and Communication sciences

Institutional repository: ODRAZ

Cite this document

Havranek, S. (2021). Primjena umjetne inteligencije na područje medicine (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:131:929493

Havranek, Silvio. "Primjena umjetne inteligencije na područje medicine." Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2021. https://urn.nsk.hr/urn:nbn:hr:131:929493

Havranek, Silvio. "Primjena umjetne inteligencije na područje medicine." Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2021. https://urn.nsk.hr/urn:nbn:hr:131:929493

Havranek, S. (2021). 'Primjena umjetne inteligencije na područje medicine', Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, accessed 21 May 2024, https://urn.nsk.hr/urn:nbn:hr:131:929493

Havranek S. Primjena umjetne inteligencije na područje medicine [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; 2021 [cited 2024 May 21] Available at: https://urn.nsk.hr/urn:nbn:hr:131:929493

S. Havranek, "Primjena umjetne inteligencije na područje medicine", Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:131:929493

Metadata
TitlePrimjena umjetne inteligencije na područje medicine
Title (english)Artificial intelligence in healthcare
AuthorSilvio Havranek
MentorTomislav Ivanjko (mentor)
Committee memberIvana Hebrang Grgić (predsjednik povjerenstva)
Committee memberAna Barbarić (član povjerenstva)
Committee memberTomislav Ivanjko (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Humanities and Social Sciences
(Department of information and Communication sciences)
Zagreb
Defense date and country2021-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Abstract
Umjetna inteligencija skup je više zasebnih tehnologija, od kojih su najznačajnije strojno učenje, koje se ovisno o korištenim podatcima dijeli na nadzirano i nenadzirano učenje, i obrada prirodnog jezika. S obzirom na velik broj različitih tehnologija, umjetna inteligencija ima velik potencijal na razna područja, poput autonomnih vozila, pametnih domova ili obrazovanja, dok je ovaj rad usredotočen na primjenu umjetne inteligencije na području medicine. Objašnjen je način rada najkorištenijih podtipova strojnog učenja i razina obrade prirodnog jezika, a nakon toga su dani primjeri njihove primjene u medicini. Ta primjena uključuje dijagnosticiranje i istraživanje raznih bolesti ili pomoć liječnicima pri odabiru ispravne vrste liječenja pacijenata. Također je detaljno istražena uloga umjetne inteligencije u borbi s COVID-om-19, gdje se između ostalog koristila za razvoj cjepiva i prevenciju širenja zaraze.
Abstract (english)
Artificial intelligence is made up of several technologies, the most significant of which are natural language processing and machine learning, which, depending on the used data, can be supervised or unsupervised. Due to its several distinct technologies, artificial intelligence has a considerable potential to be used in numerous fields, e.g., autonomous vehicles, smart homes, or education, while this paper focuses on its use in healthcare. The paper illustrates how both the most used machine learning subtypes, and different levels of natural language processing work, after which examples of their healthcare applications are given. These applications include diagnosis and research of various illnesses, or helping doctors decide on the right treatment. The use of artificial intelligence in battling COVID-19 is also explored in detail, where, among other things, it was used in vaccine development and prevention of transmission.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:131:929493
Study programmeTitle: Information Sciences
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informacijskih znanosti (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informacijskih znanosti)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-09-23 09:00:38