Abstract
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.