Optimisation of Maslow's hierarchy of needs-based survey form for nursing home residents using machine learning

Basit Öğe Kaydı
dc.contributor.authorAlici, Nedim
dc.contributor.authorAltuncu, Damla
dc.contributor.authorCengiz, Enes
dc.contributor.authorAksoy, Hasan
dc.date.accessioned2026-04-25T14:20:05Z
dc.date.available2026-04-25T14:20:05Z
dc.date.issued2026
dc.departmentSinop Üniversitesi
dc.description.abstractThe global increase in the elderly population necessitates accurate assessment of the needs of individuals residing in nursing homes. This study aims to optimise a 30-item questionnaire developed on the basis of Maslow's Hierarchy of Needs by employing machine learning algorithms. As one of the pioneering applications in Turkey, the research was conducted with 310 participants from four nursing homes. Data were analysed using Artificial Neural Network (ANN), Gaussian Process Regression (GPR), Linear Regression (LR), and Support Vector Machine (SVM). F-Test results identified the most significant variables, reducing the number of items from 30 to 10. Within the comparative analyses, the GPR model outperformed the others by yielding the lowest mean error metrics (RMSE = 0.252, MSE = 0.064, MAE = 0.195) and the highest predictive accuracy (R2 = 0.86). Findings indicate that the physiological, social, and psychological needs of older adults can be assessed through shorter, more reliable questionnaires. This study offers academic and practical contributions to elderly care and interior design.
dc.identifier.doi10.1080/00140139.2025.2610699
dc.identifier.issn0014-0139
dc.identifier.issn1366-5847
dc.identifier.orcid0000-0002-2648-5822
dc.identifier.pmid41543878
dc.identifier.scopus2-s2.0-105028123785
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1080/00140139.2025.2610699
dc.identifier.urihttps://hdl.handle.net/11486/8357
dc.identifier.wosWOS:001662397200001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofErgonomics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20260420
dc.subjectMachine learning
dc.subjectsurvey optimisation
dc.subjectelderly individuals
dc.subjectinterior design
dc.subjectuser experience
dc.titleOptimisation of Maslow's hierarchy of needs-based survey form for nursing home residents using machine learning
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
PubMed İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu