Приказ основних података о дисертацији

dc.contributor.advisorJanković, Dragan
dc.contributor.otherStoimenov, Leonid
dc.contributor.otherMilentijević, Ivan
dc.contributor.otherPredić, Bratislav
dc.contributor.otherPeulić, Aleksandar
dc.creatorJovanović, Željko
dc.date.accessioned2021-03-23T10:02:19Z
dc.date.available2021-03-23T10:02:19Z
dc.date.issued2020-10-19
dc.identifier.urihttp://eteze.ni.ac.rs/application/showtheses?thesesId=7869
dc.identifier.urihttps://fedorani.ni.ac.rs/fedora/get/o:1678/bdef:Content/download
dc.identifier.urihttp://vbs.rs/scripts/cobiss?command=DISPLAY&base=70052&RID=25036809
dc.identifier.urihttps://nardus.mpn.gov.rs/handle/123456789/18140
dc.descriptionPatients transport is a very important part of the medical services. It shouldn’t negatively affect the patient's health. Vibrations as a result of various transport factors have the greatest impact on its quality. That’s why the system for improving patient transport quality based on vibration comfort is of great importance. The aim of the research is to improve the conditions of the patients and the medical personnel transport by using advanced information technologies. For this purpose, a client server information system is developed. The client part of the information system is developed as the Android application which measure transport comfort. The client part of the information system is developed as an android application that measures the comfort of transportation. It sends measured values to the server part of the system for centralized review and processing. The server part of the information system, developed as a Java web application, collects information from all the client’s applications and performs a central processing. It enables generation of the road map as well as various of other analyzes across the dataset. The patient's sensitivity to transportation comfort depending on his medical condition was also analyzed. The patient's sensitivity to transportation comfort depending on his medical condition was also analyzed. As a result, tables of classifications and adjustments of the desired comfort level according to the patient's medical condition were created. In accordance with the complexity of the problem, machine learning techniques have been implemented for more precise transport comfort level classification. Three types of classifiers have been trained and successfully tested. The obtained results are presented and compared.en
dc.formatapplication/pdf
dc.languagesr
dc.publisherУниверзитет у Нишу, Електронски факултетsr
dc.rightsopenAccessen
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceУниверзитет у Нишуsr
dc.subjectTransportsr
dc.subjectTransportationen
dc.subjectudobnostsr
dc.subjectvibro udobnostsr
dc.subjecttransport pacijenatasr
dc.subjectinformacioni sistemsr
dc.subjectcomforten
dc.subjectvibro comforten
dc.subjectpatient transporten
dc.subjectinformation systemen
dc.titlePrimena IT u unapređenju kvaliteta transporta pacijenatasr
dc.typePhD thesis
dc.rights.licenseBY-NC-ND
dcterms.abstractЈанковић, Драган; Стоименов, Леонид; Милентијевић, Иван; Предић, Братислав; Пеулић, Aлександар; Јовановић, Жељко; Примена ИТ у унапређењу квалитета транспорта пацијената; Примена ИТ у унапређењу квалитета транспорта пацијената;
dc.identifier.fulltexthttps://nardus.mpn.gov.rs/bitstream/id/70338/Jovanovic_Zeljko_Lj.pdf
dc.identifier.fulltexthttps://nardus.mpn.gov.rs/bitstream/id/70337/Disertacija.pdf
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_nardus_18140


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Приказ основних података о дисертацији