Profiling Individuals with Dementia Using Cluster Analysis

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dc.authorscopusid57869439600
dc.authorscopusid57192819774
dc.contributor.authorTurcan G.
dc.contributor.authorPeker S.
dc.date.accessioned2024-03-09T19:39:55Z
dc.date.available2024-03-09T19:39:55Z
dc.date.issued2023
dc.departmentİzmir Bakırçay Üniversitesien_US
dc.description18th Iberian Conference on Information Systems and Technologies, CISTI 2023 -- 20 June 2023 through 23 June 2023 -- -- 191760en_US
dc.description.abstractAlzheimer's disease has long been present and has affected a significant number of people throughout its history, resulting in a vast amount of data for researchers. Making sense of that amount of data depends on the appropriate data analysis methods and algorithms. The purpose of this study is to profile individuals with dementia by conducting a cluster analysis. A two-stage clustering analysis is employed to group individuals with dementia or without dementia regarding the key features of Alzheimer's disease. Two-stage clustering analysis firstly enables one to determine the groups of individuals they belong to, and after that, it provides a way to profile individuals with Alzheimer's disease according to the features in the Alzheimer Features dataset. Although a single data exploration analysis is used in this study, its contribution to the literature is quite high because the literature lacks clustering studies conducted on the same dataset features. In further research, it is recommended to use clustering-based classification methods for the same or similar datasets. © 2023 ITMA.en_US
dc.identifier.doi10.23919/CISTI58278.2023.10211598
dc.identifier.isbn9789893347928
dc.identifier.issn2166-0727
dc.identifier.scopus2-s2.0-85169805856en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.23919/CISTI58278.2023.10211598
dc.identifier.urihttps://hdl.handle.net/20.500.14034/1541
dc.identifier.volume2023-Juneen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEE Computer Societyen_US
dc.relation.ispartofIberian Conference on Information Systems and Technologies, CISTIen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectalzheimer's disease; cluster analysis; data mining; dementia; two-stage clusteringen_US
dc.subjectClassification (of information); Data mining; Neurodegenerative diseases; Alzheimer; Alzheimers disease; Clustering analysis; Clusterings; Data analysis algorithms; Data analysis-methods; Dementia; Key feature; Number of peoples; Two-stage clustering; Cluster analysisen_US
dc.titleProfiling Individuals with Dementia Using Cluster Analysisen_US
dc.typeConference Objecten_US

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