Inteligentni softverski sistem za dijagnostiku metaboličkog sindroma
Inteligent software system for metabolic syndrome diagnostics
dc.contributor.advisor | Kupusinac, Aleksandar | |
dc.contributor.advisor | Doroslovački, Rade | |
dc.contributor.other | Ivetić, Dragan | |
dc.contributor.other | Malbaški, Dušan | |
dc.contributor.other | Stokić, Edita | |
dc.contributor.other | Ćulibrk, Dubravko | |
dc.contributor.other | Doroslovački, Rade | |
dc.contributor.other | Kupusinac, Aleksandar | |
dc.creator | Ivanović, Darko | |
dc.date.accessioned | 2018-04-23T08:33:35Z | |
dc.date.available | 2018-04-23T08:33:35Z | |
dc.date.available | 2020-07-03T14:08:33Z | |
dc.date.issued | 2018-04-16 | |
dc.identifier.uri | https://nardus.mpn.gov.rs/handle/123456789/9340 | |
dc.identifier.uri | https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija151670035989419.pdf?controlNumber=(BISIS)107048&fileName=151670035989419.pdf&id=10889&source=NaRDuS&language=sr | sr |
dc.identifier.uri | https://www.cris.uns.ac.rs/record.jsf?recordId=107048&source=NaRDuS&language=sr | sr |
dc.identifier.uri | https://www.cris.uns.ac.rs/DownloadFileServlet/IzvestajKomisije151670038559881.pdf?controlNumber=(BISIS)107048&fileName=151670038559881.pdf&id=10890&source=NaRDuS&language=sr | sr |
dc.description.abstract | Doktorska disertacija razmatra problem algoritamske dijagnostike metaboličkog sindroma na osnovu lako merljivih parametara: pol, starosna dob, indeks telesne mase, odnos obima struka i visine, sistolni i dijastolni krvni pritisak. U istraživanju su primenjene i eksperimentalno ispitane tri različite metode mašinskog učenja: stabla odluke, linearna regresija i veštačke neuronske mreže. Pokazano je da veštačke neuronske mreže daju visok nivo prediktivnih vrednosti dovoljan za primenu u praksi. Korišćenjem dobijenog rezultata definisan je i implementiran inteligentni softverski sistem za dijagnostiku metaboličkog sindroma. | sr |
dc.description.abstract | The doctoral dissertation examines the problem of algorithmic diagnostics of the metabolic syndrome based on easily measurable parameters: sex, age, body mass index, waist and height ratio, systolic and diastolic blood pressure. In the study, three different methods of machine learning were applied and experimentally examined: decision trees, linear regression and artificial neural networks. It has been shown that artificial neural networks give a high level of predictive value sufficient to be applied in practice. Using the obtained result, an intelligent software system for the diagnosis of metabolic syndrome has been defined and implemented. | en |
dc.language | sr (latin script) | |
dc.publisher | Универзитет у Новом Саду, Факултет техничких наука | sr |
dc.rights | openAccess | en |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.source | Универзитет у Новом Саду | sr |
dc.subject | Mašinsko učenje | sr |
dc.subject | Machine Learning | en |
dc.subject | Metabolički sindrom | sr |
dc.subject | Dijagnostika | sr |
dc.subject | Veštačkeneuronske mreže | sr |
dc.subject | Stabla odlučivanja | sr |
dc.subject | Linearna regresija | sr |
dc.subject | Metabolic Syndrome | en |
dc.subject | Diagnostics | en |
dc.subject | Artificial NeuralNetworks | en |
dc.subject | Decision Trees | en |
dc.subject | Linear Regression | en |
dc.title | Inteligentni softverski sistem za dijagnostiku metaboličkog sindroma | sr |
dc.title.alternative | Inteligent software system for metabolic syndrome diagnostics | en |
dc.type | doctoralThesis | en |
dc.rights.license | BY-NC-ND | |
dcterms.abstract | Купусинац, Aлександар; Дорословачки, Раде; Стокић, Едита; Дорословачки, Раде; Купусинац, Aлександар; Ћулибрк, Дубравко; Иветић, Драган; Малбашки, Душан; Ивановић, Дарко; Интелигентни софтверски систем за дијагностику метаболичког синдрома; Интелигентни софтверски систем за дијагностику метаболичког синдрома; | |
dc.identifier.fulltext | http://nardus.mpn.gov.rs/bitstream/id/42042/IzvestajKomisije.pdf | |
dc.identifier.fulltext | https://nardus.mpn.gov.rs/bitstream/id/42041/Disertacija.pdf | |
dc.identifier.fulltext | https://nardus.mpn.gov.rs/bitstream/id/42042/IzvestajKomisije.pdf | |
dc.identifier.fulltext | http://nardus.mpn.gov.rs/bitstream/id/42041/Disertacija.pdf | |
dc.identifier.rcub | https://hdl.handle.net/21.15107/rcub_nardus_9340 |