Journal of aging research · 2026
A National Big Data Analysis on Alzheimer's and Other Dementias in Türkiye.
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Yi̇ği̇t Talip, Di̇nçer Murat, Ata Naim, Ülgü M Mahir, Bi̇ri̇nci̇ Şuayip, Ayvali M Okan
Аннотация
INTRODUCTION: Scientific and technological advances are emphasizing biomarker-driven studies to diagnose, classify, and predict the pathogenesis of Alzheimer's disease (AD) and dementias (Ds) with the development of intelligent systems during these symptom-free years.
METHODS: In this study, the data of people over 65 who were diagnosed with AD/D in 2020 were retrospectively scanned, and the data of 243,073 people identified were analyzed on a total of 32 variables, 6 of which were dependent variables and 26 were independent variables.
RESULTS: It is understood from the logistic regression (LR) models that AD/D is a multilayered and extraordinarily complex condition with biological, mental, and social dimensions rather than a single variable or parameter.
DISCUSSION: As a main result of the study, it is understood that instead of generalized diagnostic criteria, the appearance and boundaries of AD in society can be determined with specialized technology-based smart systems.
METHODS: In this study, the data of people over 65 who were diagnosed with AD/D in 2020 were retrospectively scanned, and the data of 243,073 people identified were analyzed on a total of 32 variables, 6 of which were dependent variables and 26 were independent variables.
RESULTS: It is understood from the logistic regression (LR) models that AD/D is a multilayered and extraordinarily complex condition with biological, mental, and social dimensions rather than a single variable or parameter.
DISCUSSION: As a main result of the study, it is understood that instead of generalized diagnostic criteria, the appearance and boundaries of AD in society can be determined with specialized technology-based smart systems.